The overarching goal of Olga Troyanskaya’s research is to predict and verify the biological function of genes and proteins within an organism by utilizing the power of computation to better harness the information found in diverse biological assays. Her current research areas include: genomic data intergration; gene expression analysis; gene and protein function prediction; detection and analysis of chromosomal abnormalities and functional evolution; integration of computation and experiments; identification of biological networks and pathways; evaluation and validation of computational predictions; and scalable visualization-based data analysis.
Ira Herskowitz Award, Genetic Society of America, 2014.
Overton Prize, 2011.
Howard Wentz Faculty Award, 2006.
Sloan Fellowship, 2005.
C. S. Greene et al, "Understanding multicellular function and disease with human tissue-specific networks," Nature Genetics, vol. 47, pp. 569–576, 2015.
M. D. Chikina et al, "Low-variance RNAs identify Parkinson's disease molecular signature in blood," Movement Disorders, vol. 30, no. 6, pp. 813-821, 2015.
C. Y. Park et al, "Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms," Bioinformatics, vol. 31, no. 7, pp. 1093-1101, 2015.
J. Goya et al, "FNTM: a server for predicting functional networks of tissues in mouse," Nucleic Acids Research, 2015.
A. K. Wong et al, "IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks," Nucleic Acids Research, 2015.
Senior Fellow Genetic Networks
Princeton UniversityDepartment of Computer Science
PhD (Biomedical Informatics) Stanford University
BS (Computer Science and Biology) University of Richmond
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