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Abhishek Sarkar
Abhishek Sarkar
Senior Scientist, Vesalius Therapeutics
Bestätigte E-Mail-Adresse bei alum.mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4282*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
7602020
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
5612017
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
3792011
Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis
A Sarkar, M Stephens
Nature Genetics 53 (6), 770-777, 2021
202*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
722019
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
492021
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
452017
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
392020
Non-negative matrix factorization algorithms greatly improve topic model fits
P Carbonetto, A Sarkar, Z Wang, M Stephens
arXiv preprint arXiv:2105.13440, 2021
272021
Multi-tissue polygenic models for transcriptome-wide association studies
Y Park, AK Sarkar, K Bhutani, M Kellis
bioRxiv, 107623, 2017
172017
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
142017
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
112023
Functional enrichments of disease variants across thousands of independent loci in eight diseases
AK Sarkar, LD Ward, M Kellis
BioRxiv, 048066, 2016
72016
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
62023
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data
Y Park, A Sarkar, K Nguyen, M Kellis
arXiv preprint arXiv:1901.08540, 2019
52019
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
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