Olga G. Troyanskaya

Computer Science Princeton University, Princeton, NJ 
 2003 Stanford University, Palo Alto, CA 
Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinfo
"Olga Troyanskaya"
Cross-listing: Computer Science Tree


Sign in to add mentor
Russ Altman grad student 2003 Stanford (GenetiTree)
 (Improving the specificity of biological signal detection from microarray data.)
David Botstein grad student 2003 Stanford
 (Improving the specificity of biological signal detection from microarray data.)


Sign in to add trainee
Curtis Huttenhower grad student 2009 Princeton
Yuanfang Guan grad student 2010 Princeton
Maria Chikina grad student 2011 Princeton
Patrick H. Bradley grad student 2005-2012 Princeton
Ana Bell grad student 2013 Princeton
Arjun Krishnan post-doc 2011-2016 Michigan State
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Zhou J, Schor IE, Yao V, et al. (2019) Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development. Plos Genetics. 15: e1008382
Sargin D, Chottekalapanda RU, Perit KE, et al. (2019) Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons. Molecular Psychiatry
Zhou J, Park CY, Theesfeld CL, et al. (2019) Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk. Nature Genetics
Bradley PH, Gibney PA, Botstein D, et al. (2019) Minor Isozymes Tailor Yeast Metabolism to Carbon Availability. Msystems. 4
Lee YS, Krishnan A, Oughtred R, et al. (2019) A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems
Lee YS, Wong AK, Tadych A, et al. (2018) Interpretation of an individual functional genomics experiment guided by massive public data. Nature Methods
Yao V, Kaletsky R, Keyes W, et al. (2018) An integrative tissue-network approach to identify and test human disease genes. Nature Biotechnology
Kaletsky R, Yao V, Williams A, et al. (2018) Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. Plos Genetics. 14: e1007559
Zhou J, Theesfeld CL, Yao K, et al. (2018) Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics
Yao V, Wong AK, Troyanskaya OG. (2018) Enabling Precision Medicine through Integrative Network Models. Journal of Molecular Biology
See more...