| Integrative analysis of 111 reference human epigenomes A Kundaje, W Meuleman, J Ernst, M Bilenky, A Yen, A Heravi-Moussavi, ... Nature 518 (7539), 317-330, 2015 | 5947 | 2015 |
| A simple new approach to variable selection in regression, with application to genetic fine mapping G Wang, A Sarkar, P Carbonetto, M Stephens Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020 | 510 | 2020 |
| Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk FR Day, DJ Thompson, H Helgason, DI Chasman, H Finucane, P Sulem, ... Nature genetics 49 (6), 834-841, 2017 | 496 | 2017 |
| Genetic analysis of complex traits in the emerging Collaborative Cross DL Aylor, W Valdar, W Foulds-Mathes, RJ Buus, RA Verdugo, RS Baric, ... Genome research 21 (8), 1213-1222, 2011 | 373 | 2011 |
| Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis A Sarkar, M Stephens Nature Genetics 53 (6), 770-777, 2021 | 155* | 2021 |
| Discovery and characterization of variance QTLs in human induced pluripotent stem cells AK Sarkar, PY Tung, JD Blischak, JE Burnett, YI Li, M Stephens, Y Gilad PLoS genetics 15 (4), e1008045, 2019 | 66 | 2019 |
| Dynamic effects of genetic variation on gene expression revealed following hypoxic stress in cardiomyocytes MC Ward, NE Banovich, A Sarkar, M Stephens, Y Gilad eLife 10, e57345, 2021 | 41 | 2021 |
| Evidence of reduced recombination rate in human regulatory domains Y Liu, A Sarkar, P Kheradpour, J Ernst, M Kellis Genome biology 18 (1), 1-11, 2017 | 40 | 2017 |
| Gene expression variability in human and chimpanzee populations share common determinants BJ Fair, LE Blake, A Sarkar, BJ Pavlovic, C Cuevas, Y Gilad Elife 9, e59929, 2020 | 31 | 2020 |
| Non-negative matrix factorization algorithms greatly improve topic model fits P Carbonetto, A Sarkar, Z Wang, M Stephens arXiv preprint arXiv:2105.13440, 2021 | 18 | 2021 |
| Multi-tissue polygenic models for transcriptome-wide association studies Y Park, AK Sarkar, K Bhutani, M Kellis bioRxiv, 107623, 2017 | 17 | 2017 |
| A Bayesian approach to mediation analysis predicts 206 causal target genes in Alzheimer’s disease Y Park, AK Sarkar, L He, J Davila-Velderrain, PL De Jager, M Kellis | 15* | 2017 |
| Modeling prediction error improves power of transcriptome-wide association studies K Bhutani, A Sarkar, Y Park, M Kellis, NJ Schork bioRxiv, 108316, 2017 | 14 | 2017 |
| Functional enrichments of disease variants across thousands of independent loci in eight diseases AK Sarkar, LD Ward, M Kellis BioRxiv, 048066, 2016 | 7 | 2016 |
| Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data Y Park, A Sarkar, K Nguyen, M Kellis arXiv preprint arXiv:1901.08540, 2019 | 4 | 2019 |
| GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership P Carbonetto, K Luo, A Sarkar, A Hung, K Tayeb, S Pott, M Stephens Genome Biology 24 (1), 236, 2023 | 3 | 2023 |
| A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes F Morgante, P Carbonetto, G Wang, Y Zou, A Sarkar, M Stephens PLoS genetics 19 (7), e1010539, 2023 | 2 | 2023 |
| Interpreting structure in sequence count data with differential expression analysis allowing for grades of membership P Carbonetto, K Luo, A Sarkar, A Hung, K Tayeb, S Pott, M Stephens bioRxiv, 2023.03. 03.531029, 2023 | | 2023 |
| Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk FR Day, DJ Thompson, H Helgason, DI Chasman, H Finucane, P Sulem, ... Nature Genetics 49 (6), 834-841, 2017 | | 2017 |
| Interpreting the role of non-coding genetic variation in human disease AK Sarkar Massachusetts Institute of Technology, 2017 | | 2017 |
Matthew StephensUniversity of ChicagoVerified email at uchicago.edu
