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Fingerprint Dive into the research topics where Olga G. Troyanskaya is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Genes Engineering & Materials Science
Genome Medicine & Life Sciences
Gene Expression Medicine & Life Sciences
Genomics Medicine & Life Sciences
Microarrays Engineering & Materials Science
Biological Phenomena Medicine & Life Sciences
Gene expression Engineering & Materials Science
Gene Mathematics

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Research Output 1998 2019

A Computational Framework for Genome-wide Characterization of the Human Disease Landscape

Lee, Y. S., Krishnan, A., Oughtred, R., Rust, J., Chang, C. S., Ryu, J., Kristensen, V. N., Dolinski, K., Theesfeld, C. L. & Troyanskaya, O. G., Feb 27 2019, In : Cell Systems. 8, 2, p. 152-162.e6

Princeton University

Research output: Contribution to journalArticle

Genome
Drug Repositioning
Rare Diseases
Neuroblastoma
Transcriptome
5 Citations (Scopus)

New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

Understanding Society Scientific Group, Mar 1 2019, In : Nature genetics. 51, 3, p. 481-493 13 p.

Princeton University

Research output: Contribution to journalArticle

Chronic Obstructive Pulmonary Disease
Lung
Genome-Wide Association Study
Mortality
Pharmaceutical Preparations
1 Citation (Scopus)

Selene: a PyTorch-based deep learning library for sequence data

Chen, K. M., Cofer, E. M., Zhou, J. & Troyanskaya, O. G., Apr 1 2019, In : Nature Methods. 16, 4, p. 315-318 4 p.

Princeton University

Research output: Contribution to journalArticle

Libraries
Learning
DNA sequences
Research Personnel
Deep learning

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk

Zhou, J., Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B. & Troyanskaya, O. G., Jun 1 2019, In : Nature genetics. 51, 6, p. 973-980 8 p.

Princeton University

Research output: Contribution to journalArticle

Autistic Disorder
Learning
Genome
Mutation
Genomics

A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data

Bipolar Disorders Working Group of the Psychiatric Genomics Consortium, May 1 2018, In : PLoS computational biology. 14, 5, e1006105.

Princeton University

Research output: Contribution to journalArticle

Biclustering
Genome-Wide Association Study
Gene expression
Gene Expression
gene expression