Alexis Battle, PhD
Office: Malone 327
Lab: Battle Lab
PhD, Computer Science, Stanford University (2013)
MS, Computer Science, Stanford University (2013)
BS, Symbolic Systems, Stanford University (2003)
Alexis Battle’s research focuses on unraveling the impact of genetics on human health, using machine learning and probabilistic methods to analyze large scale genomic data. She is interested in applications to personal genomics, genetics of gene expression, and gene networks in disease, and leveraging diverse data to infer more comprehensive models of genetic effects on the cell.
The GTEx Consortium. Genetic effects on gene expression across human tissues. Nature. 2017 Oct 11:550(7675): 204-213.
Li X*, Kim Y*, Tsang EK*, Davis JR, Damani F, Chiang C, Hess GT, Zappala Z, Strober BJ, Scott AJ, Li A, Ganna A, Bassik MC, Merker JD, GTEx Consortium, Hall IM, Battle A*, Montgomery SB*. The impact of rare variation on gene expression across tissues. Nature. 2017 Oct 11;550(7675):239-243.
Saha A, Kim Y†, Gewirtz ADH†, Jo B, Gao C, McDowell IC, The GTEx Consortium, Engelhardt BE*, and Battle A*. Co-expression networks reveal the tissue-specific regulation of transcription and splicing. In press, Genome Research 2017 Nov;27(11):1843-1858.
Knowles DA, Davis JR, Edgington H, Raj A, Fave M-J, Zhu X, Potash JB, Wiessman MM, Shi J, Levinson DF, Awadalla P, Mostafavi S, Montgomery SB*, Battle A*. Allele-specific expression reveals interactions between genetic variation and environment. Nature Methods, 2017 Jul 1 14(7) 699-702, PMID: 28530654.
Battle A*, Khan Z*, Wang SH*, Mitrano A, Ford MJ, Pritchard JK, Gilad Y. Genomic variation. Impact of regulatory variation from RNA to protein. Science. 2015 Feb 6;347(6222):664-7. PubMed PMID: 25657249; PMCID: PMC4507520.