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Olga G. Troyanskaya

  • 13185 Citations
  • 50 h-Index
19982023

Research output per year

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Projects

lntegration and Visualization of Diverse Biological Data

Troyanskaya, O. G.

NIH NIGMS

4/1/19 → 3/31/23

Project: Research project

    • Integration and Visualization of Diverse Biological Data

    Troyanskaya, O. G.

    NIH NIGMS

    5/1/15 → 3/31/19

    Project: Research project

    • Context-Sensitive Search of Human Expression Compendia

    Troyanskaya, O. G.

    NIH NHGRI

    6/28/11 → 4/30/15

    Project: Research project

    Integration and Visualization of Diverse Biological Data

    Troyanskaya, O. G.

    NIH NIGMS

    1/1/11 → 4/30/15

    Project: Research project

    • CAREER: An Integrated Approach to the Study of Biological Process Specific Networks

    Troyanskaya, O. G.

    NSF - National Science Foundation

    6/1/06 → 5/31/13

    Project: Research project

    Research Output

    Accurate genome-wide predictions of spatiotemporal gene expression during embryonic development

    Zhou, J., Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M. & Troyanskaya, O. G., Jan 1 2019, In : PLoS genetics. 15, 9, e1008382.

    Research output: Contribution to journal › Article

    Open Access

    • 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

    Research output: Contribution to journal › Article

    • 2 Scopus citations

    Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries (Nature Genetics, (2019), 51, 3, (481-493), 10.1038/s41588-018-0321-7)

    Understanding Society Scientific Group, Jun 1 2019, In : Nature Genetics. 51, 6, 1 p.

    Research output: Contribution to journal › Comment/debate

    • DeepSEA and Seqweaver: Deep learning frameworks for the identification of de novo disease-causing mutations in noncoding sequences

    Zhou, J., Troyanskaya, O., Park, C. & Darnell, R., Jan 14 2019

    Research output: Innovation

    • Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons

    Sargin, D., Chottekalapanda, R. U., Perit, K. E., Yao, V., Chu, D., Sparks, D. W., Kalik, S., Power, S. K., Troyanskaya, O. G., Schmidt, E. F., Greengard, P. & Lambe, E. K., Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

    Research output: Contribution to journal › Article

    • 2 Scopus citations