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Ipsita Agarwal
Ipsita Agarwal
Department of Statistics, University of Oxford
Bestätigte E-Mail-Adresse bei stats.ox.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Variable prediction accuracy of polygenic scores within an ancestry group
H Mostafavi, A Harpak, I Agarwal, D Conley, JK Pritchard, M Przeworski
elife 9, e48376, 2020
3582020
Signatures of replication timing, recombination, and sex in the spectrum of rare variants on the human X chromosome and autosomes
I Agarwal, M Przeworski
Proceedings of the National Academy of Sciences 116 (36), 17916-17924, 2019
402019
Mutation saturation for fitness effects at human CpG sites
I Agarwal, M Przeworski
Elife 10, e71513, 2021
242021
Impact of essential workers in the context of social distancing for epidemic control
WR Milligan, ZL Fuller, I Agarwal, MB Eisen, M Przeworski, G Sella
PLoS One 16 (8), e0255680, 2021
202021
Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs
I Agarwal, ZL Fuller, SR Myers, M Przeworski
Elife 12, e83172, 2023
182023
HOP-1 Presenilin Deficiency Causes a Late-Onset Notch Signaling Phenotype That Affects Adult Germline Function in Caenorhabditis elegans
I Agarwal, C Farnow, J Jiang, KS Kim, DE Leet, RZ Solomon, VA Hale, ...
Genetics 208 (2), 745-762, 2018
172018
2-Way k-Means as a Model for Microbiome Samples
WJ Jackson, I Agarwal, I Pe'er
Journal of healthcare engineering 2017, 2017
22017
Disentangling mutation and selection in human genetic variation: promises and pitfalls
I Agarwal
Columbia University, 2021
2021
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