Olga Troyanskaya
Olga Troyanskaya
Princeton University and Flatiron Institute, Simons Foundation
Verified email at - Homepage
Cited by
Cited by
Missing value estimation methods for DNA microarrays
O Troyanskaya, M Cantor, G Sherlock, P Brown, T Hastie, R Tibshirani, ...
Bioinformatics 17 (6), 520-525, 2001
The genetic landscape of a cell
M Costanzo, A Baryshnikova, J Bellay, Y Kim, ED Spear, CS Sevier, ...
science 327 (5964), 425-431, 2010
Predicting effects of noncoding variants with deep learning–based sequence model
J Zhou, OG Troyanskaya
Nature methods 12 (10), 931-934, 2015
Diversity of gene expression in adenocarcinoma of the lung
ME Garber, OG Troyanskaya, K Schluens, S Petersen, Z Thaesler, ...
Proceedings of the National Academy of Sciences 98 (24), 13784-13789, 2001
A global genetic interaction network maps a wiring diagram of cellular function
M Costanzo, B VanderSluis, EN Koch, A Baryshnikova, C Pons, G Tan, ...
Science 353 (6306), aaf1420, 2016
Endothelial cell diversity revealed by global expression profiling
JT Chi, HY Chang, G Haraldsen, FL Jahnsen, OG Troyanskaya, ...
Proceedings of the National Academy of Sciences 100 (19), 10623-10628, 2003
Understanding multicellular function and disease with human tissue-specific networks
CS Greene, A Krishnan, AK Wong, E Ricciotti, RA Zelaya, ...
Nature genetics 47 (6), 569-576, 2015
A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)
OG Troyanskaya, K Dolinski, AB Owen, RB Altman, D Botstein
Proceedings of the National Academy of Sciences 100 (14), 8348-8353, 2003
Hierarchical multi-label prediction of gene function
Z Barutcuoglu, RE Schapire, OG Troyanskaya
Bioinformatics 22 (7), 830-836, 2006
Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry
A Chi, C Huttenhower, LY Geer, JJ Coon, JEP Syka, DL Bai, ...
Proceedings of the National Academy of Sciences 104 (7), 2193-2198, 2007
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast
MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese, ...
Molecular biology of the cell 19 (1), 352-367, 2008
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
J Zhou, CL Theesfeld, K Yao, KM Chen, AK Wong, OG Troyanskaya
Nature genetics 50 (8), 1171-1179, 2018
Systemic and cell type-specific gene expression patterns in scleroderma skin
ML Whitfield, DR Finlay, JI Murray, OG Troyanskaya, JT Chi, ...
Proceedings of the National Academy of Sciences 100 (21), 12319-12324, 2003
Gene expression patterns in ovarian carcinomas
ME Schaner, DT Ross, G Ciaravino, T Sørlie, O Troyanskaya, M Diehn, ...
Molecular biology of the cell 14 (11), 4376-4386, 2003
Nonparametric methods for identifying differentially expressed genes in microarray data
OG Troyanskaya, ME Garber, PO Brown, D Botstein, RB Altman
Bioinformatics 18 (11), 1454-1461, 2002
Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder
A Krishnan, R Zhang, V Yao, CL Theesfeld, AK Wong, A Tadych, ...
Nature neuroscience 19 (11), 1454-1462, 2016
Quantitative analysis of fitness and genetic interactions in yeast on a genome scale
A Baryshnikova, M Costanzo, Y Kim, H Ding, J Koh, K Toufighi, JY Youn, ...
Nature methods 7 (12), 1017-1024, 2010
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries
N Shrine, AL Guyatt, AM Erzurumluoglu, VE Jackson, BD Hobbs, ...
Nature genetics 51 (3), 481-493, 2019
Variation in gene expression patterns in human gastric cancers
X Chen, SY Leung, ST Yuen, KM Chu, J Ji, R Li, ASY Chan, S Law, ...
Molecular biology of the cell 14 (8), 3208-3215, 2003
Systems-level dynamic analyses of fate change in murine embryonic stem cells
R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur, ...
Nature 462 (7271), 358-362, 2009
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