Eran Halperin

Eran Halperin

Adjunct Professor, Computer Science, University of California Los Angeles

Professor, Computational Medicine, University of California Los Angeles

Professor, Human Genetics, University of California Los Angeles

Professor, Anesthesiology, University of California Los Angeles

UC Profile
http://www.cs.ucla.edu/~ehalperin/

Publications

  1. Balliu B, Douglas C, Seok D, Shenhav L, Wu Y, Chatzopoulou D, Kaiser W, Chen V, Kim J, Deverasetty S, Arnaudova I, Gibbons R, Congdon E, Craske MG, Freimer N, Halperin E, Sankararaman S, Flint J. Personalized mood prediction from patterns of behavior collected with smartphones.. NPJ digital medicine, 2024.
  2. Avram O, Durmus B, Rakocz N, Corradetti G, An U, Nitalla MG, Rudas A, Wakatsuki Y, Hirabayashi K, Velaga S, Tiosano L, Corvi F, Verma A, Karamat A, Lindenberg S, Oncel D, Almidani L, Hull V, Fasih-Ahmad S, Esmaeilkhanian H, Wykoff CC, Rahmani E, Arnold CW, Zhou B, Zaitlen N, Gronau I, Sankararaman S, Chiang JN, Sadda SR, Halperin E. SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data.. Research square, 2023.
  3. Corradetti G, Rakocz N, Chiang JN, Avram O, Alagorie AR, Nittala MG, Karamat A, Boyer DS, Sarraf D, Halperin E, Sadda S. Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning.. Eye (London, England), 2023.
  4. Grunin M, Triffon D, Beykin G, Rahmani E, Schweiger R, Tiosano L, Khateb S, Hagbi-Levi S, Rinsky B, Munitz R, Winkler TW, Heid IM, Halperin E, Carmi S, Chowers I. Genome-wide association study and genomic risk prediction of age-related macular degeneration in Israel.. medRxiv : the preprint server for health sciences, 2023.
  5. Briscoe L, Halperin E, Garud NR. SNV-FEAST: microbial source tracking with single nucleotide variants.. Genome biology, 2023.
  6. Ganesh D, Chiang JN, Corradetti G, Zaitlen N, Halperin E, Sadda SR. Effect of statins on the age of onset of age-related macular degeneration.. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2023.
  7. Rudas A, Chiang JN, Corradetti G, Rakocz N, Avram O, Halperin E, Sadda SR. Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers.. PLOS digital health, 2023.
  8. Hasson Y, Amir E, Sobol-Sarag D, Tamir M, Halperin E. Using performance art to promote intergroup prosociality by cultivating the belief that empathy is unlimited.. Nature communications, 2022.
  9. Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, Denny CT, Sul JH, Zaitlen N, Arboleda VA, Halperin E, Sankararaman S, Butte MJ, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working G, Lajonchere C, Geschwind DH, Pasaniuc B. Author Correction: Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.. Genome medicine, 2022.
  10. Thompson M, Gordon MG, Lu A, Tandon A, Halperin E, Gusev A, Ye CJ, Balliu B, Zaitlen N. Multi-context genetic modeling of transcriptional regulation resolves novel disease loci.. Nature communications, 2022.
  11. Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, Denny CT, Sul JH, Zaitlen N, Arboleda VA, Halperin E, Sankararaman S, Butte MJ, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working G, Lajonchere C, Geschwind DH, Pasaniuc B. Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.. Genome medicine, 2022.
  12. An U, Shenhav L, Olson CA, Hsiao EY, Halperin E, Sankararaman S. STENSL: Microbial Source Tracking with ENvironment SeLection.. mSystems, 2022.
  13. Thompson M, Hill BL, Rakocz N, Chiang JN, Geschwind D, Sankararaman S, Hofer I, Cannesson M, Zaitlen N, Halperin E. Methylation risk scores are associated with a collection of phenotypes within electronic health record systems.. NPJ genomic medicine, 2022.
  14. Chiang JN, Corradetti G, Nittala MG, Corvi F, Rakocz N, Rudas A, Durmus B, An U, Sankararaman S, Chiu A, Halperin E, Sadda SR. Automated Identification of Incomplete and Complete Retinal Epithelial Pigment and Outer Retinal Atrophy Using Machine Learning.. Ophthalmology. Retina, 2022.
  15. Pavlovic T, Azevedo F, De K, Riaño-Moreno JC, Maglic M, Gkinopoulos T, Donnelly-Kehoe PA, Payán-Gómez C, Huang G, Kantorowicz J, Birtel MD, Schönegger P, Capraro V, Santamaría-García H, Yucel M, Ibanez A, Rathje S, Wetter E, Stanojevic D, van Prooijen JW, Hesse E, Elbaek CT, Franc R, Pavlovic Z, Mitkidis P, Cichocka A, Gelfand M, Alfano M, Ross RM, Sjåstad H, Nezlek JB, Cislak A, Lockwood P, Abts K, Agadullina E, Amodio DM, Apps MAJ, Aruta JJB, Besharati S, Bor A, Choma B, Cunningham W, Ejaz W, Farmer H, Findor A, Gjoneska B, Gualda E, Huynh TLD, Imran MA, Israelashvili J, Kantorowicz-Reznichenko E, Krouwel A, Kutiyski Y, Laakasuo M, Lamm C, Levy J, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Olsson A, Otterbring T, Packer D, Palomäki J, Perry A, Petersen MB, Puthillam A, Rothmund T, Schmid PC, Stadelmann D, Stoica A, Stoyanov D, Stoyanova K, Tewari S, Todosijevic B, Torgler B, Tsakiris M, Tung HH, Umbre? RG, Vanags E, Vlasceanu M, Vonasch AJ, Zhang Y, Abad M, Adler E, Mdarhri HA, Antazo B, Ay FC, Ba MEH, Barbosa S, Bastian B, Berg A, Bialek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, de Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryanska M, Dabrowska J, Davis VH, Minda JP, Dayley PN, Delouvée S, Denkovski O, Dezecache G, Dhaliwal NA, Diato A, Di Paolo R, Dulleck U, Ekmanis J, Etienne TW, Farhana HH, Farkhari F, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang J, Gale J, García-Navarro EB, Garladinne P, Gray K, Griffin SM, Gronfeldt B, Gruber J, Halperin E, Herzon V, Hruška M, Hudecek MFC, Isler O, Jangard S, Jørgensen F, Keudel O, Koppel L, Koverola M, Kunnari A, Leota J, Lermer E, Li C, Longoni C, McCashin D, Mikloušic I, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nitschke JP, Nurse MS, de Mello VO, Palacios-Galvez MS, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Perander S, Pitman M, Raza A, Rêgo GG, Robertson C, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Schultner D, Schutte E, Scott A, Skali A, Stefaniak A, Sternisko A, Strickland B, Thomas JP, Tinghög G, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Rooy D, Västfjäll D, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, Boggio PS, Whillans A, Van Lange PAM, Prasad R, Onderco M, O'Madagain C, Nesh-Nash T, Laguna OM, Kubin E, Gümren M, Fenwick A, Ertan AS, Bernstein MJ, Amara H, Van Bavel JJ. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.. PNAS nexus, 2022.
  16. Hofer IS, Kupina M, Laddaran L, Halperin E. Integration of feature vectors from raw laboratory, medication and procedure names improves the precision and recall of models to predict postoperative mortality and acute kidney injury.. Scientific reports, 2022.
  17. Van Bavel JJ, Cichocka A, Capraro V, Sjåstad H, Nezlek JB, Pavlovic T, Alfano M, Gelfand MJ, Azevedo F, Birtel MD, Cislak A, Lockwood PL, Ross RM, Abts K, Agadullina E, Aruta JJB, Besharati SN, Bor A, Choma BL, Crabtree CD, Cunningham WA, De K, Ejaz W, Elbaek CT, Findor A, Flichtentrei D, Franc R, Gjoneska B, Gruber J, Gualda E, Horiuchi Y, Huynh TLD, Ibanez A, Imran MA, Israelashvili J, Jasko K, Kantorowicz J, Kantorowicz-Reznichenko E, Krouwel A, Laakasuo M, Lamm C, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Minda JP, Mitkidis P, Olsson A, Otterbring T, Packer DJ, Perry A, Petersen MB, Puthillam A, Riaño-Moreno JC, Rothmund T, Santamaría-García H, Schmid PC, Stoyanov D, Tewari S, Todosijevic B, Tsakiris M, Tung HH, Umbre? RG, Vanags E, Vlasceanu M, Vonasch A, Yucel M, Zhang Y, Abad M, Adler E, Akrawi N, Mdarhri HA, Amara H, Amodio DM, Antazo BG, Apps M, Ay FC, Ba MH, Barbosa S, Bastian B, Berg A, Bernal-Zárate MP, Bernstein M, Bialek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, Cameron CD, Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryanska M, Dabrowska J, Daniels MA, Davis VH, Dayley PN, Delouvee S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Drosinou M, Dulleck U, Ekmanis J, Ertan AS, Etienne TW, Farhana HH, Farkhari F, Farmer H, Fenwick A, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, Garcia-Navarro EB, Garladinne P, Ghajjou O, Gkinopoulos T, Gray K, Griffin SM, Gronfeldt B, Gümren M, Gurung RL, Halperin E, Harris E, Herzon V, Hruška M, Huang G, Hudecek MFC, Isler O, Jangard S, Jørgensen FJ, Kachanoff F, Kahn J, Dangol AK, Keudel O, Koppel L, Koverola M, Kubin E, Kunnari A, Kutiyski Y, Laguna O, Leota J, Lermer E, Levy J, Levy N, Li C, Long EU, Longoni C, Maglic M, McCashin D, Metcalf AL, Mikloušic I, El Mimouni S, Miura A, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nesh-Nash T, Nitschke JP, Nurse MS, Ohtsubo Y, Oldemburgo de Mello V, O'Madagain C, Onderco M, Palacios-Galvez MS, Palomäki J, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Pavlovic Z, Payán-Gómez C, Perander S, Pitman MM, Prasad R, Pyrkosz-Pacyna J, Rathje S, Raza A, Rêgo GG, Rhee K, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Santiago-Tovar N, Savage D, Scheffer JA, Schönegger P, Schultner DT, Schutte EM, Scott A, Sharma M, Sharma P, Skali A, Stadelmann D, Stafford CA, Stanojevic D, Stefaniak A, Sternisko A, Stoica A, Stoyanova KK, Strickland B, Sundvall J, Thomas JP, Tinghög G, Torgler B, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Lange PAM, van Prooijen JW, van Rooy D, Västfjäll D, Verkoeijen P, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Wetter E, Whillans A, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, Boggio PS. Author Correction: National identity predicts public health support during a global pandemic.. Nature communications, 2022.
  18. Briscoe L, Balliu B, Sankararaman S, Halperin E, Garud NR. Evaluating supervised and unsupervised background noise correction in human gut microbiome data.. PLoS computational biology, 2022.
  19. Van Bavel JJ, Cichocka A, Capraro V, Sjåstad H, Nezlek JB, Pavlovic T, Alfano M, Gelfand MJ, Azevedo F, Birtel MD, Cislak A, Lockwood PL, Ross RM, Abts K, Agadullina E, Aruta JJB, Besharati SN, Bor A, Choma BL, Crabtree CD, Cunningham WA, De K, Ejaz W, Elbaek CT, Findor A, Flichtentrei D, Franc R, Gjoneska B, Gruber J, Gualda E, Horiuchi Y, Huynh TLD, Ibanez A, Imran MA, Israelashvili J, Jasko K, Kantorowicz J, Kantorowicz-Reznichenko E, Krouwel A, Laakasuo M, Lamm C, Leygue C, Lin MJ, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Minda JP, Mitkidis P, Olsson A, Otterbring T, Packer DJ, Perry A, Petersen MB, Puthillam A, Riaño-Moreno JC, Rothmund T, Santamaría-García H, Schmid PC, Stoyanov D, Tewari S, Todosijevic B, Tsakiris M, Tung HH, Umbre? RG, Vanags E, Vlasceanu M, Vonasch A, Yucel M, Zhang Y, Abad M, Adler E, Akrawi N, Mdarhri HA, Amara H, Amodio DM, Antazo BG, Apps M, Ay FC, Ba MH, Barbosa S, Bastian B, Berg A, Bernal-Zárate MP, Bernstein M, Bialek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, Cameron CD, Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryanska M, Dabrowska J, Daniels MA, Davis VH, Dayley PN, Delouvee S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Drosinou M, Dulleck U, Ekmanis J, Ertan AS, Etienne TW, Farhana HH, Farkhari F, Farmer H, Fenwick A, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, Garcia-Navarro EB, Garladinne P, Ghajjou O, Gkinopoulos T, Gray K, Griffin SM, Gronfeldt B, Gümren M, Gurung RL, Halperin E, Harris E, Herzon V, Hruška M, Huang G, Hudecek MFC, Isler O, Jangard S, Jørgensen FJ, Kachanoff F, Kahn J, Dangol AK, Keudel O, Koppel L, Koverola M, Kubin E, Kunnari A, Kutiyski Y, Laguna O, Leota J, Lermer E, Levy J, Levy N, Li C, Long EU, Longoni C, Maglic M, McCashin D, Metcalf AL, Mikloušic I, El Mimouni S, Miura A, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nesh-Nash T, Nitschke JP, Nurse MS, Ohtsubo Y, Oldemburgo de Mello V, O'Madagain C, Onderco M, Palacios-Galvez MS, Palomäki J, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Pavlovic Z, Payán-Gómez C, Perander S, Pitman MM, Prasad R, Pyrkosz-Pacyna J, Rathje S, Raza A, Rêgo GG, Rhee K, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Santiago-Tovar N, Savage D, Scheffer JA, Schönegger P, Schultner DT, Schutte EM, Scott A, Sharma M, Sharma P, Skali A, Stadelmann D, Stafford CA, Stanojevic D, Stefaniak A, Sternisko A, Stoica A, Stoyanova KK, Strickland B, Sundvall J, Thomas JP, Tinghög G, Torgler B, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, Van Lange PAM, van Prooijen JW, van Rooy D, Västfjäll D, Verkoeijen P, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Wetter E, Whillans A, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer CT, Zwaan RA, Boggio PS. National identity predicts public health support during a global pandemic.. Nature communications, 2022.
  20. Rahmani E, Jew B, Halperin E. The Effect of Model Directionality on Cell-Type-Specific Differential DNA Methylation Analysis.. Frontiers in bioinformatics, 2022.
  21. Hill BL, Rakocz N, Rudas Á, Chiang JN, Wang S, Hofer I, Cannesson M, Halperin E. Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.. Scientific reports, 2021.
  22. Klinger D, Hill BL, Barda N, Halperin E, Gofrit ON, Greenblatt CL, Rappoport N, Linial M, Bercovier H. Bladder Cancer Immunotherapy by BCG Is Associated with a Significantly Reduced Risk of Alzheimer's Disease and Parkinson's Disease.. Vaccines, 2021.
  23. Rakocz N, Chiang JN, Nittala MG, Corradetti G, Tiosano L, Velaga S, Thompson M, Hill BL, Sankararaman S, Haines JL, Pericak-Vance MA, Stambolian D, Sadda SR, Halperin E. Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging.. NPJ digital medicine, 2021.
  24. Saab FG, Chiang JN, Brook R, Adamson PC, Fulcher JA, Halperin E, Manuel V, Goodman-Meza D. Discharge Clinical Characteristics and Post-Discharge Events in Patients with Severe COVID-19: A Descriptive Case Series.. Journal of general internal medicine, 2021.
  25. Mandric I, Schwarz T, Majumdar A, Hou K, Briscoe L, Perez R, Subramaniam M, Hafemeister C, Satija R, Ye CJ, Pasaniuc B, Halperin E. Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis.. Nature communications, 2020.
  26. Goodman-Meza D, Rudas A, Chiang JN, Adamson PC, Ebinger J, Sun N, Botting P, Fulcher JA, Saab FG, Brook R, Eskin E, An U, Kordi M, Jew B, Balliu B, Chen Z, Hill BL, Rahmani E, Halperin E, Manuel V. A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.. PloS one, 2020.
  27. Miao Z, Alvarez M, Ko A, Bhagat Y, Rahmani E, Jew B, Heinonen S, Muñoz-Hernandez LL, Herrera-Hernandez M, Aguilar-Salinas C, Tusie-Luna T, Mohlke KL, Laakso M, Pietiläinen KH, Halperin E, Pajukanta P. The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance.. PLoS genetics, 2020.
  28. Martino C, Shenhav L, Marotz CA, Armstrong G, McDonald D, Vázquez-Baeza Y, Morton JT, Jiang L, Dominguez-Bello MG, Swafford AD, Halperin E, Knight R. Context-aware dimensionality reduction deconvolutes gut microbial community dynamics.. Nature biotechnology, 2020.
  29. Alvarez M, Rahmani E, Jew B, Garske KM, Miao Z, Benhammou JN, Ye CJ, Pisegna JR, Pietiläinen KH, Halperin E, Pajukanta P. Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM.. Scientific reports, 2020.
  30. Jew B, Alvarez M, Rahmani E, Miao Z, Ko A, Garske KM, Sul JH, Pietiläinen KH, Pajukanta P, Halperin E. Publisher Correction: Accurate estimation of cell composition in bulk expression through robust integration of single-cell information.. Nature communications, 2020.
  31. Joseph TA, Shenhav L, Xavier JB, Halperin E, Pe'er I. Compositional Lotka-Volterra describes microbial dynamics in the simplex.. PLoS computational biology, 2020.
  32. Agrawal A, Chiu AM, Le M, Halperin E, Sankararaman S. Scalable probabilistic PCA for large-scale genetic variation data.. PLoS genetics, 2020.
  33. Mandric I, Hill BL, Freund MK, Thompson M, Halperin E. BATMAN: Fast and Accurate Integration of Single-Cell RNA-Seq Datasets via Minimum-Weight Matching.. iScience, 2020.
  34. Jew B, Alvarez M, Rahmani E, Miao Z, Ko A, Garske KM, Sul JH, Pietiläinen KH, Pajukanta P, Halperin E. Accurate estimation of cell composition in bulk expression through robust integration of single-cell information.. Nature communications, 2020.
  35. Furman O, Shenhav L, Sasson G, Kokou F, Honig H, Jacoby S, Hertz T, Cordero OX, Halperin E, Mizrahi I. Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics.. Nature communications, 2020.
  36. Grunin M, Beykin G, Rahmani E, Schweiger R, Barel G, Hagbi-Levi S, Elbaz-Hayoun S, Rinsky B, Ganiel M, Carmi S, Halperin E, Chowers I. Association of a Variant in VWA3A with Response to Anti-Vascular Endothelial Growth Factor Treatment in Neovascular AMD.. Investigative ophthalmology & visual science, 2020.
  37. Brown Kav A, Rozov R, Bogumil D, Sørensen SJ, Hansen LH, Benhar I, Halperin E, Shamir R, Mizrahi I. Unravelling plasmidome distribution and interaction with its hosting microbiome.. Environmental microbiology, 2019.
  38. Hill BL, Brown R, Gabel E, Rakocz N, Lee C, Cannesson M, Baldi P, Olde Loohuis L, Johnson R, Jew B, Maoz U, Mahajan A, Sankararaman S, Hofer I, Halperin E. An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.. British journal of anaesthesia, 2019.
  39. Rahmani E, Schweiger R, Rhead B, Criswell LA, Barcellos LF, Eskin E, Rosset S, Sankararaman S, Halperin E. Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology.. Nature communications, 2019.
  40. Thompson M, Chen ZJ, Rahmani E, Halperin E. CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets.. Genome biology, 2019.
  41. Wallace RJ, Sasson G, Garnsworthy PC, Tapio I, Gregson E, Bani P, Huhtanen P, Bayat AR, Strozzi F, Biscarini F, Snelling TJ, Saunders N, Potterton SL, Craigon J, Minuti A, Trevisi E, Callegari ML, Cappelli FP, Cabezas-Garcia EH, Vilkki J, Pinares-Patino C, Fliegerová KO, Mrázek J, Sechovcová H, Kopecný J, Bonin A, Boyer F, Taberlet P, Kokou F, Halperin E, Williams JL, Shingfield KJ, Mizrahi I. A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions.. Science advances, 2019.
  42. Shenhav L, Furman O, Briscoe L, Thompson M, Silverman JD, Mizrahi I, Halperin E. Modeling the temporal dynamics of the gut microbial community in adults and infants.. PLoS computational biology, 2019.
  43. Shenhav L, Thompson M, Joseph TA, Briscoe L, Furman O, Bogumil D, Mizrahi I, Pe'er I, Halperin E. FEAST: fast expectation-maximization for microbial source tracking.. Nature methods, 2019.
  44. Fisher E, Brzezinski RY, Ehrenwald M, Shapira I, Zeltser D, Berliner S, Marcus Y, Shefer G, Stern N, Rogowski O, Halperin E, Rosset S, Shenhar-Tsarfaty S. Increase of body mass index and waist circumference predicts development of metabolic syndrome criteria in apparently healthy individuals with 2 and 5 years follow-up.. International journal of obesity (2005), 2019.
  45. Schweiger R, Fisher E, Weissbrod O, Rahmani E, Müller-Nurasyid M, Kunze S, Gieger C, Waldenberger M, Rosset S, Halperin E. Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests.. Nature communications, 2018.
  46. Hofer IS, Halperin E, Cannesson M. Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.. Anesthesia and analgesia, 2018.
  47. Rahmani E, Schweiger R, Shenhav L, Wingert T, Hofer I, Gabel E, Eskin E, Halperin E. BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference.. Genome biology, 2018.
  48. Schweiger R, Fisher E, Rahmani E, Shenhav L, Rosset S, Halperin E. Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability.. Journal of computational biology : a journal of computational molecular cell biology, 2018.
  49. Galpaz N, Gonda I, Shem-Tov D, Barad O, Tzuri G, Lev S, Fei Z, Xu Y, Mao L, Jiao C, Harel-Beja R, Doron-Faigenboim A, Tzfadia O, Bar E, Meir A, Sa'ar U, Fait A, Halperin E, Kenigswald M, Fallik E, Lombardi N, Kol G, Ronen G, Burger Y, Gur A, Tadmor Y, Portnoy V, Schaffer AA, Lewinsohn E, Giovannoni JJ, Katzir N. Deciphering genetic factors that determine melon fruit-quality traits using RNA-Seq-based high-resolution QTL and eQTL mapping.. The Plant journal : for cell and molecular biology, 2018.
  50. Rozov R, Goldshlager G, Halperin E, Shamir R. Faucet: streaming de novo assembly graph construction.. Bioinformatics (Oxford, England), 2018.
  51. Park DS, Eskin I, Kang EY, Gamazon ER, Eng C, Gignoux CR, Galanter JM, Burchard E, Ye CJ, Aschard H, Eskin E, Halperin E, Zaitlen N. An ancestry-based approach for detecting interactions.. Genetic epidemiology, 2017.
  52. Schweiger R, Weissbrod O, Rahmani E, Müller-Nurasyid M, Kunze S, Gieger C, Waldenberger M, Rosset S, Halperin E. RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests.. Genetics, 2017.
  53. Sasson G, Kruger Ben-Shabat S, Seroussi E, Doron-Faigenboim A, Shterzer N, Yaacoby S, Berg Miller ME, White BA, Halperin E, Mizrahi I. Heritable Bovine Rumen Bacteria Are Phylogenetically Related and Correlated with the Cow's Capacity To Harvest Energy from Its Feed.. mBio, 2017.
  54. Weissbrod O, Rahmani E, Schweiger R, Rosset S, Halperin E. Association testing of bisulfite-sequencing methylation data via a Laplace approximation.. Bioinformatics (Oxford, England), 2017.
  55. Rahmani E, Yedidim R, Shenhav L, Schweiger R, Weissbrod O, Zaitlen N, Halperin E. GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data.. Bioinformatics (Oxford, England), 2017.
  56. Rhead B, Holingue C, Cole M, Shao X, Quach HL, Quach D, Shah K, Sinclair E, Graf J, Link T, Harrison R, Rahmani E, Halperin E, Wang W, Firestein GS, Barcellos LF, Criswell LA. Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes.. Arthritis & rheumatology (Hoboken, N.J.), 2017.
  57. Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E. Correcting for cell-type heterogeneity in DNA methylation: a comprehensive evaluation.. Nature methods, 2017.
  58. Rozov R, Brown Kav A, Bogumil D, Shterzer N, Halperin E, Mizrahi I, Shamir R. Recycler: an algorithm for detecting plasmids from de novo assembly graphs.. Bioinformatics (Oxford, England), 2017.
  59. Rahmani E, Shenhav L, Schweiger R, Yousefi P, Huen K, Eskenazi B, Eng C, Huntsman S, Hu D, Galanter J, Oh SS, Waldenberger M, Strauch K, Grallert H, Meitinger T, Gieger C, Holland N, Burchard EG, Zaitlen N, Halperin E. Genome-wide methylation data mirror ancestry information.. Epigenetics & chromatin, 2017.
  60. Zaitlen N, Huntsman S, Hu D, Spear M, Eng C, Oh SS, White MJ, Mak A, Davis A, Meade K, Brigino-Buenaventura E, LeNoir MA, Bibbins-Domingo K, Burchard EG, Halperin E. The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium.. Genetics, 2016.
  61. Waldman YY, Biddanda A, Dubrovsky M, Campbell CL, Oddoux C, Friedman E, Atzmon G, Halperin E, Ostrer H, Keinan A. The genetic history of Cochin Jews from India.. Human genetics, 2016.
  62. Schweiger R, Kaufman S, Laaksonen R, Kleber ME, März W, Eskin E, Rosset S, Halperin E. Fast and Accurate Construction of Confidence Intervals for Heritability.. American journal of human genetics, 2016.
  63. Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E. Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.. Nature methods, 2016.
  64. Waldman YY, Biddanda A, Davidson NR, Billing-Ross P, Dubrovsky M, Campbell CL, Oddoux C, Friedman E, Atzmon G, Halperin E, Ostrer H, Keinan A. The Genetics of Bene Israel from India Reveals Both Substantial Jewish and Indian Ancestry.. PloS one, 2016.
  65. Zou JY, Park DS, Burchard EG, Torgerson DG, Pino-Yanes M, Song YS, Sankararaman S, Halperin E, Zaitlen N. Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns.. Proceedings of the National Academy of Sciences of the United States of America, 2015.
  66. Baran Y, Halperin E. A Note on the Relations Between Spatio-Genetic Models.. Journal of computational biology : a journal of computational molecular cell biology, 2015.
  67. Zou JY, Halperin E, Burchard E, Sankararaman S. Inferring parental genomic ancestries using pooled semi-Markov processes.. Bioinformatics (Oxford, England), 2015.
  68. Pliskin R, Bar-Tal D, Sheppes G, Halperin E. Are leftists more emotion-driven than rightists? The interactive influence of ideology and emotions on support for policies.. Personality & social psychology bulletin, 2014.
  69. Rozov R, Shamir R, Halperin E. Fast lossless compression via cascading Bloom filters.. BMC bioinformatics, 2014.
  70. Shem-Tov D, Halperin E. Historical pedigree reconstruction from extant populations using PArtitioning of RElatives (PREPARE).. PLoS computational biology, 2014.
  71. Arkin Y, Rahmani E, Kleber ME, Laaksonen R, März W, Halperin E. EPIQ-efficient detection of SNP-SNP epistatic interactions for quantitative traits.. Bioinformatics (Oxford, England), 2014.
  72. Brownstein CA, Beggs AH, Homer N, Merriman B, Yu TW, Flannery KC, DeChene ET, Towne MC, Savage SK, Price EN, Holm IA, Luquette LJ, Lyon E, Majzoub J, Neupert P, McCallie D, Szolovits P, Willard HF, Mendelsohn NJ, Temme R, Finkel RS, Yum SW, Medne L, Sunyaev SR, Adzhubey I, Cassa CA, de Bakker PI, Duzkale H, Dworzynski P, Fairbrother W, Francioli L, Funke BH, Giovanni MA, Handsaker RE, Lage K, Lebo MS, Lek M, Leshchiner I, MacArthur DG, McLaughlin HM, Murray MF, Pers TH, Polak PP, Raychaudhuri S, Rehm HL, Soemedi R, Stitziel NO, Vestecka S, Supper J, Gugenmus C, Klocke B, Hahn A, Schubach M, Menzel M, Biskup S, Freisinger P, Deng M, Braun M, Perner S, Smith RJ, Andorf JL, Huang J, Ryckman K, Sheffield VC, Stone EM, Bair T, Black-Ziegelbein EA, Braun TA, Darbro B, DeLuca AP, Kolbe DL, Scheetz TE, Shearer AE, Sompallae R, Wang K, Bassuk AG, Edens E, Mathews K, Moore SA, Shchelochkov OA, Trapane P, Bossler A, Campbell CA, Heusel JW, Kwitek A, Maga T, Panzer K, Wassink T, Van Daele D, Azaiez H, Booth K, Meyer N, Segal MM, Williams MS, Tromp G, White P, Corsmeier D, Fitzgerald-Butt S, Herman G, Lamb-Thrush D, McBride KL, Newsom D, Pierson CR, Rakowsky AT, Maver A, Lovrecic L, Palandacic A, Peterlin B, Torkamani A, Wedell A, Huss M, Alexeyenko A, Lindvall JM, Magnusson M, Nilsson D, Stranneheim H, Taylan F, Gilissen C, Hoischen A, van Bon B, Yntema H, Nelen M, Zhang W, Sager J, Zhang L, Blair K, Kural D, Cariaso M, Lennon GG, Javed A, Agrawal S, Ng PC, Sandhu KS, Krishna S, Veeramachaneni V, Isakov O, Halperin E, Friedman E, Shomron N, Glusman G, Roach JC, Caballero J, Cox HC, Mauldin D, Ament SA, Rowen L, Richards DR, San Lucas FA, Gonzalez-Garay ML, Caskey CT, Bai Y, Huang Y, Fang F, Zhang Y, Wang Z, Barrera J, Garcia-Lobo JM, González-Lamuño D, Llorca J, Rodriguez MC, Varela I, Reese MG, De La Vega FM, Kiruluta E, Cargill M, Hart RK, Sorenson JM, Lyon GJ, Stevenson DA, Bray BE, Moore BM, Eilbeck K, Yandell M, Zhao H, Hou L, Chen X, Yan X, Chen M, Li C, Yang C, Gunel M, Li P, Kong Y, Alexander AC, Albertyn ZI, Boycott KM, Bulman DE, Gordon PM, Innes AM, Knoppers BM, Majewski J, Marshall CR, Parboosingh JS, Sawyer SL, Samuels ME, Schwartzentruber J, Kohane IS, Margulies DM. An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.. Genome biology, 2014.
  73. Behar DM, Metspalu M, Baran Y, Kopelman NM, Yunusbayev B, Gladstein A, Tzur S, Sahakyan H, Bahmanimehr A, Yepiskoposyan L, Tambets K, Khusnutdinova EK, Kushniarevich A, Balanovsky O, Balanovsky E, Kovacevic L, Marjanovic D, Mihailov E, Kouvatsi A, Triantaphyllidis C, King RJ, Semino O, Torroni A, Hammer MF, Metspalu E, Skorecki K, Rosset S, Halperin E, Villems R, Rosenberg NA. No evidence from genome-wide data of a Khazar origin for the Ashkenazi Jews.. Human biology, 2013.
  74. Eskin I, Hormozdiari F, Conde L, Riby J, Skibola CF, Eskin E, Halperin E. eALPS: estimating abundance levels in pooled sequencing using available genotyping data.. Journal of computational biology : a journal of computational molecular cell biology, 2013.
  75. Ronen R, Udpa N, Halperin E, Bafna V. Learning natural selection from the site frequency spectrum.. Genetics, 2013.
  76. Baran Y, Quintela I, Carracedo A, Pasaniuc B, Halperin E. Enhanced localization of genetic samples through linkage-disequilibrium correction.. American journal of human genetics, 2013.
  77. Navon O, Sul JH, Han B, Conde L, Bracci PM, Riby J, Skibola CF, Eskin E, Halperin E. Rare variant association testing under low-coverage sequencing.. Genetics, 2013.
  78. Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Zaitlen N, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Chen GK, Le Marchand L, Henderson B, Reich D, Haiman CA, Gonzàlez Burchard E, Halperin E. Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation.. Bioinformatics (Oxford, England), 2013.
  79. Wang Z, Hormozdiari F, Yang WY, Halperin E, Eskin E. CNVeM: copy number variation detection using uncertainty of read mapping.. Journal of computational biology : a journal of computational molecular cell biology, 2013.
  80. Töpfer A, Zagordi O, Prabhakaran S, Roth V, Halperin E, Beerenwinkel N. Probabilistic inference of viral quasispecies subject to recombination.. Journal of computational biology : a journal of computational molecular cell biology, 2013.
  81. Nieters A, Conde L, Slager SL, Brooks-Wilson A, Morton L, Skibola DR, Novak AJ, Riby J, Ansell SM, Halperin E, Shanafelt TD, Agana L, Wang AH, De Roos AJ, Severson RK, Cozen W, Spinelli J, Butterbach K, Becker N, de Sanjose S, Benavente Y, Cocco P, Staines A, Maynadié M, Foretova L, Boffetta P, Brennan P, Lan Q, Zhang Y, Zheng T, Purdue M, Armstrong B, Kricker A, Vajdic CM, Grulich A, Smith MT, Bracci PM, Chanock SJ, Hartge P, Cerhan JR, Wang SS, Rothman N, Skibola CF. PRRC2A and BCL2L11 gene variants influence risk of non-Hodgkin lymphoma: results from the InterLymph consortium.. Blood, 2012.
  82. Slager SL, Skibola CF, Di Bernardo MC, Conde L, Broderick P, McDonnell SK, Goldin LR, Croft N, Holroyd A, Harris S, Riby J, Serie DJ, Kay NE, Call TG, Bracci PM, Halperin E, Lanasa MC, Cunningham JM, Leis JF, Morrison VA, Spector LG, Vachon CM, Shanafelt TD, Strom SS, Camp NJ, Weinberg JB, Matutes E, Caporaso NE, Wade R, Dyer MJ, Dearden C, Cerhan JR, Catovsky D, Houlston RS. Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia.. Blood, 2012.
  83. Yang WY, Novembre J, Eskin E, Halperin E. A model-based approach for analysis of spatial structure in genetic data.. Nature genetics, 2012.
  84. Efros A, Halperin E. Haplotype reconstruction using perfect phylogeny and sequence data.. BMC bioinformatics, 2012.
  85. Rozov R, Halperin E, Shamir R. MGMR: leveraging RNA-Seq population data to optimize expression estimation.. BMC bioinformatics, 2012.
  86. Baran Y, Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Burchard EG, Halperin E. Fast and accurate inference of local ancestry in Latino populations.. Bioinformatics (Oxford, England), 2012.
  87. Baran Y, Halperin E. Joint analysis of multiple metagenomic samples.. PLoS computational biology, 2012.
  88. Kirkpatrick B, Li SC, Karp RM, Halperin E. Pedigree reconstruction using identity by descent.. Journal of computational biology : a journal of computational molecular cell biology, 2011.
  89. Bis JC, Kavousi M, Franceschini N, Isaacs A, Abecasis GR, Schminke U, Post WS, Smith AV, Cupples LA, Markus HS, Schmidt R, Huffman JE, Lehtimäki T, Baumert J, Münzel T, Heckbert SR, Dehghan A, North K, Oostra B, Bevan S, Stoegerer EM, Hayward C, Raitakari O, Meisinger C, Schillert A, Sanna S, Völzke H, Cheng YC, Thorsson B, Fox CS, Rice K, Rivadeneira F, Nambi V, Halperin E, Petrovic KE, Peltonen L, Wichmann HE, Schnabel RB, Dörr M, Parsa A, Aspelund T, Demissie S, Kathiresan S, Reilly MP, Taylor K, Uitterlinden A, Couper DJ, Sitzer M, Kähönen M, Illig T, Wild PS, Orru M, Lüdemann J, Shuldiner AR, Eiriksdottir G, White CC, Rotter JI, Hofman A, Seissler J, Zeller T, Usala G, Ernst F, Launer LJ, D'Agostino RB, O'Leary DH, Ballantyne C, Thiery J, Ziegler A, Lakatta EG, Chilukoti RK, Harris TB, Wolf PA, Psaty BM, Polak JF, Li X, Rathmann W, Uda M, Boerwinkle E, Klopp N, Schmidt H, Wilson JF, Viikari J, Koenig W, Blankenberg S, Newman AB, Witteman J, Heiss G, Duijn Cv, Scuteri A, Homuth G, Mitchell BD, Gudnason V, O'Donnell CJ, CARDIoGRAM Consortium. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque.. Nature genetics, 2011.
  90. Wang J, Geesman GJ, Hostikka SL, Atallah M, Blackwell B, Lee E, Cook PJ, Pasaniuc B, Shariat G, Halperin E, Dobke M, Rosenfeld MG, Jordan IK, Lunyak VV. Inhibition of activated pericentromeric SINE/Alu repeat transcription in senescent human adult stem cells reinstates self-renewal.. Cell cycle (Georgetown, Tex.), 2011.
  91. Conde L, Bevan S, Sitzer M, Klopp N, Illig T, Thiery J, Seissler J, Baumert J, Raitakari O, Kähönen M, Lyytikäinen LP, Laaksonen R, Viikari J, Lehtimäki T, Koernig W, Halperin E, Markus HS. Novel associations for coronary artery disease derived from genome wide association studies are not associated with increased carotid intima-media thickness, suggesting they do not act via early atherosclerosis or vessel remodeling.. Atherosclerosis, 2011.
  92. Salton M, Elkon R, Borodina T, Davydov A, Yaspo ML, Halperin E, Shiloh Y. Matrin 3 binds and stabilizes mRNA.. PloS one, 2011.
  93. He D, Zaitlen N, Pasaniuc B, Eskin E, Halperin E. Genotyping common and rare variation using overlapping pool sequencing.. BMC bioinformatics, 2011.
  94. Conde L, Bracci PM, Halperin E, Skibola CF. A search for overlapping genetic susceptibility loci between non-Hodgkin lymphoma and autoimmune diseases.. Genomics, 2011.
  95. Schunkert H, König IR, Kathiresan S, Reilly MP, Assimes TL, Holm H, Preuss M, Stewart AF, Barbalic M, Gieger C, Absher D, Aherrahrou Z, Allayee H, Altshuler D, Anand SS, Andersen K, Anderson JL, Ardissino D, Ball SG, Balmforth AJ, Barnes TA, Becker DM, Becker LC, Berger K, Bis JC, Boekholdt SM, Boerwinkle E, Braund PS, Brown MJ, Burnett MS, Buysschaert I, Cardiogenics, Carlquist JF, Chen L, Cichon S, Codd V, Davies RW, Dedoussis G, Dehghan A, Demissie S, Devaney JM, Diemert P, Do R, Doering A, Eifert S, Mokhtari NE, Ellis SG, Elosua R, Engert JC, Epstein SE, de Faire U, Fischer M, Folsom AR, Freyer J, Gigante B, Girelli D, Gretarsdottir S, Gudnason V, Gulcher JR, Halperin E, Hammond N, Hazen SL, Hofman A, Horne BD, Illig T, Iribarren C, Jones GT, Jukema JW, Kaiser MA, Kaplan LM, Kastelein JJ, Khaw KT, Knowles JW, Kolovou G, Kong A, Laaksonen R, Lambrechts D, Leander K, Lettre G, Li M, Lieb W, Loley C, Lotery AJ, Mannucci PM, Maouche S, Martinelli N, McKeown PP, Meisinger C, Meitinger T, Melander O, Merlini PA, Mooser V, Morgan T, Mühleisen TW, Muhlestein JB, Münzel T, Musunuru K, Nahrstaedt J, Nelson CP, Nöthen MM, Olivieri O, Patel RS, Patterson CC, Peters A, Peyvandi F, Qu L, Quyyumi AA, Rader DJ, Rallidis LS, Rice C, Rosendaal FR, Rubin D, Salomaa V, Sampietro ML, Sandhu MS, Schadt E, Schäfer A, Schillert A, Schreiber S, Schrezenmeir J, Schwartz SM, Siscovick DS, Sivananthan M, Sivapalaratnam S, Smith A, Smith TB, Snoep JD, Soranzo N, Spertus JA, Stark K, Stirrups K, Stoll M, Tang WH, Tennstedt S, Thorgeirsson G, Thorleifsson G, Tomaszewski M, Uitterlinden AG, van Rij AM, Voight BF, Wareham NJ, Wells GA, Wichmann HE, Wild PS, Willenborg C, Witteman JC, Wright BJ, Ye S, Zeller T, Ziegler A, Cambien F, Goodall AH, Cupples LA, Quertermous T, März W, Hengstenberg C, Blankenberg S, Ouwehand WH, Hall AS, Deloukas P, Thompson JR, Stefansson K, Roberts R, Thorsteinsdottir U, O'Donnell CJ, McPherson R, Erdmann J, CARDIoGRAM Consortium, Samani NJ. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease.. Nature genetics, 2011.
  96. Pasaniuc B, Zaitlen N, Halperin E. Accurate estimation of expression levels of homologous genes in RNA-seq experiments.. Journal of computational biology : a journal of computational molecular cell biology, 2011.
  97. Padhukasahasram B, Halperin E, Wessel J, Thomas DJ, Silver E, Trumbower H, Cargill M, Stephan DA. Presymptomatic risk assessment for chronic non-communicable diseases.. PloS one, 2010.
  98. Pasaniuc B, Avinery R, Gur T, Skibola CF, Bracci PM, Halperin E. A generic coalescent-based framework for the selection of a reference panel for imputation.. Genetic epidemiology, 2010.
  99. Preuss M, König IR, Thompson JR, Erdmann J, Absher D, Assimes TL, Blankenberg S, Boerwinkle E, Chen L, Cupples LA, Hall AS, Halperin E, Hengstenberg C, Holm H, Laaksonen R, Li M, März W, McPherson R, Musunuru K, Nelson CP, Burnett MS, Epstein SE, O'Donnell CJ, Quertermous T, Rader DJ, Roberts R, Schillert A, Stefansson K, Stewart AF, Thorleifsson G, Voight BF, Wells GA, Ziegler A, Kathiresan S, Reilly MP, Samani NJ, Schunkert H, CARDIoGRAM Consortium. Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls.. Circulation. Cardiovascular genetics, 2010.
  100. Ronen R, Gan I, Modai S, Sukacheov A, Dror G, Halperin E, Shomron N. miRNAkey: a software for microRNA deep sequencing analysis.. Bioinformatics (Oxford, England), 2010.
  101. Conde L, Halperin E, Akers NK, Brown KM, Smedby KE, Rothman N, Nieters A, Slager SL, Brooks-Wilson A, Agana L, Riby J, Liu J, Adami HO, Darabi H, Hjalgrim H, Low HQ, Humphreys K, Melbye M, Chang ET, Glimelius B, Cozen W, Davis S, Hartge P, Morton LM, Schenk M, Wang SS, Armstrong B, Kricker A, Milliken S, Purdue MP, Vajdic CM, Boyle P, Lan Q, Zahm SH, Zhang Y, Zheng T, Becker N, Benavente Y, Boffetta P, Brennan P, Butterbach K, Cocco P, Foretova L, Maynadié M, de Sanjosé S, Staines A, Spinelli JJ, Achenbach SJ, Call TG, Camp NJ, Glenn M, Caporaso NE, Cerhan JR, Cunningham JM, Goldin LR, Hanson CA, Kay NE, Lanasa MC, Leis JF, Marti GE, Rabe KG, Rassenti LZ, Spector LG, Strom SS, Vachon CM, Weinberg JB, Holly EA, Chanock S, Smith MT, Bracci PM, Skibola CF. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32.. Nature genetics, 2010.
  102. Bracci PM, Skibola CF, Conde L, Halperin E, Lightfoot T, Smith A, Paynter RA, Skibola DR, Agana L, Roman E, Kane E, Wiencke JK. Chemokine polymorphisms and lymphoma: a pooled analysis.. Leukemia & lymphoma, 2010.
  103. Kirkpatrick B, Halperin E, Karp RM. Haplotype inference in complex pedigrees.. Journal of computational biology : a journal of computational molecular cell biology, 2010.
  104. Zaitlen N, Pasaniuc B, Gur T, Ziv E, Halperin E. Leveraging genetic variability across populations for the identification of causal variants.. American journal of human genetics, 2010.
  105. Lindfors E, Gopalacharyulu PV, Halperin E, Oresic M. Detection of molecular paths associated with insulitis and type 1 diabetes in non-obese diabetic mouse.. PloS one, 2009.
  106. Sankararaman S, Obozinski G, Jordan MI, Halperin E. Genomic privacy and limits of individual detection in a pool.. Nature genetics, 2009.
  107. Skibola CF, Bracci PM, Halperin E, Conde L, Craig DW, Agana L, Iyadurai K, Becker N, Brooks-Wilson A, Curry JD, Spinelli JJ, Holly EA, Riby J, Zhang L, Nieters A, Smith MT, Brown KM. Genetic variants at 6p21.33 are associated with susceptibility to follicular lymphoma.. Nature genetics, 2009.
  108. Pasaniuc B, Sankararaman S, Kimmel G, Halperin E. Inference of locus-specific ancestry in closely related populations.. Bioinformatics (Oxford, England), 2009.
  109. Halperin E, Stephan DA. SNP imputation in association studies.. Nature biotechnology, 2009.
  110. Halperin E, Stephan DA. Maximizing power in association studies.. Nature biotechnology, 2009.
  111. Kimmel G, Karp RM, Jordan MI, Halperin E. Association mapping and significance estimation via the coalescent.. American journal of human genetics, 2008.
  112. Skibola CF, Bracci PM, Halperin E, Nieters A, Hubbard A, Paynter RA, Skibola DR, Agana L, Becker N, Tressler P, Forrest MS, Sankararaman S, Conde L, Holly EA, Smith MT. Polymorphisms in the estrogen receptor 1 and vitamin C and matrix metalloproteinase gene families are associated with susceptibility to lymphoma.. PloS one, 2008.
  113. Sankararaman S, Kimmel G, Halperin E, Jordan MI. On the inference of ancestries in admixed populations.. Genome research, 2008.
  114. Sankararaman S, Sridhar S, Kimmel G, Halperin E. Estimating local ancestry in admixed populations.. American journal of human genetics, 2008.
  115. Sridhar S, Dhamdhere K, Blelloch G, Halperin E, Ravi R, Schwartz R. Algorithms for efficient near-perfect phylogenetic tree reconstruction in theory and practice.. IEEE/ACM transactions on computational biology and bioinformatics, 2007.
  116. Kirkpatrick B, Armendariz CS, Karp RM, Halperin E. HAPLOPOOL: improving haplotype frequency estimation through DNA pools and phylogenetic modeling.. Bioinformatics (Oxford, England), 2007.
  117. Kimmel G, Jordan MI, Halperin E, Shamir R, Karp RM. A randomization test for controlling population stratification in whole-genome association studies.. American journal of human genetics, 2007.
  118. Zaitlen N, Kang HM, Eskin E, Halperin E. Leveraging the HapMap correlation structure in association studies.. American journal of human genetics, 2007.
  119. Beckman KB, Abel KJ, Braun A, Halperin E. Using DNA pools for genotyping trios.. Nucleic acids research, 2006.
  120. Eskin E, Sharan R, Halperin E. A note on phasing long genomic regions using local haplotype predictions.. Journal of bioinformatics and computational biology, 2006.
  121. Halperin E, Hazan E. HAPLOFREQ--estimating haplotype frequencies efficiently.. Journal of computational biology : a journal of computational molecular cell biology, 2006.
  122. Marchini J, Cutler D, Patterson N, Stephens M, Eskin E, Halperin E, Lin S, Qin ZS, Munro HM, Abecasis GR, Donnelly P, International HapMap Consortium. A comparison of phasing algorithms for trios and unrelated individuals.. American journal of human genetics, 2006.
  123. Zaitlen NA, Kang HM, Feolo ML, Sherry ST, Halperin E, Eskin E. Inference and analysis of haplotypes from combined genotyping studies deposited in dbSNP.. Genome research, 2005.
  124. Halperin E, Kimmel G, Shamir R. Tag SNP selection in genotype data for maximizing SNP prediction accuracy.. Bioinformatics (Oxford, England), 2005.
  125. Hinds DA, Stuve LL, Nilsen GB, Halperin E, Eskin E, Ballinger DG, Frazer KA, Cox DR. Whole-genome patterns of common DNA variation in three human populations.. Science (New York, N.Y.), 2005.
  126. Halperin E, Eskin E. Haplotype reconstruction from genotype data using Imperfect Phylogeny.. Bioinformatics (Oxford, England), 2004.
  127. Eskin E, Halperin E, Karp RM. Efficient reconstruction of haplotype structure via perfect phylogeny.. Journal of bioinformatics and computational biology, 2003.
  128. Halperin E, Halperin S, Hartman T, Shamir R. Handling long targets and errors in sequencing by hybridization.. Journal of computational biology : a journal of computational molecular cell biology, 2003.