Troyanskaya, Olga G.

Missing Value Estimation Methods for DNA Microarrays

Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001) · Bioinformatics

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 4,230

Predicting effects of noncoding variants with deep learning–based sequence model

Zhou, J., & Troyanskaya, O. G. (2015) · Nature Methods

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 2,338

The Genetic Landscape of a Cell

Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 2,162

A global genetic interaction network maps a wiring diagram of cellular function

Costanzo, M., VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., et al. (2016) · Science

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 1,240

Understanding multicellular function and disease with human tissue-specific networks

Greene, C. S., Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., et al. (2015) · Nature Genetics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 832

Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

Zhou, J., Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., & Troyanskaya, O. G. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 559

Coordination of Growth Rate, Cell Cycle, Stress Response, and Metabolic Activity in Yeast

Brauer, M. J., Huttenhower, C., Airoldi, E. M., Rosenstein, R., Matese, J. C., Gresham, D., Boer, V. M., Troyanskaya, O. G., & Botstein, D. (2008) · Molecular Biology of the Cell

Fungal and yeast genetics researchGene Regulatory Network Analysis

Cited by 558

Quantitative analysis of fitness and genetic interactions in yeast on a genome scale

Baryshnikova, A., Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J.-Y., Ou, J., San Luis, B.-J., Bandyopadhyay, S., et al. (2010) · Nature Methods

Fungal and yeast genetics researchBioinformatics and Genomic Networks

Cited by 364

A sequence-based global map of regulatory activity for deciphering human genetics

Chen, K. M., Wong, A. K., Troyanskaya, O. G., & Zhou, J. (2022) · Nature Genetics

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 269

A critical assessment of Mus musculusgene function prediction using integrated genomic evidence

Peña-Castillo, L., Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. K., et al. (2008) · Genome Biology

Bioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Cited by 248

Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis

Roussarie, J.-P., Yao, V., Rodriguez-Rodriguez, P., Oughtred, R., Rust, J., Plautz, Z., Kasturia, S., Albornoz, C., Wang, W., Schmidt, E. F., et al. (2020) · Neuron

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 180

GOLEM: an interactive graph-based gene-ontology navigation and analysis tool

Sealfon, R. S., Hibbs, M. A., Huttenhower, C., Myers, C. L., & Troyanskaya, O. G. (2006) · BMC Bioinformatics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 58

Artificial intelligence and cancer

Troyanskaya, O., Trajanoski, Z., Carpenter, A., Thrun, S., Razavian, N., & Oliver, N. (2020) · Nature Cancer

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 47