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Olga G. Troyanskaya

Olga G. Troyanskaya

D-Index & Metrics

Biology and Biochemistry

D-Index
81
Citations
35481
World Ranking
3800
National Ranking
1882

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to computational biology, data integration and deep learning applications for genome interpretation
  • 2017 - Fellow of the International Society for Computational Biology
  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Olga G. Troyanskaya is affiliated with Princeton University in the United States and has a research focus primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work spans multiple subfields including Molecular Biology, Infectious Diseases, Immunology, Oncology, and Nephrology.

The scientist's research covers a range of main topics such as Single-cell and spatial transcriptomics, RNA and protein synthesis mechanisms, RNA research and splicing, genomics and chromatin dynamics, epigenetics and DNA methylation, cell image analysis techniques, and CAR-T cell therapy research.

Some of the recent papers authored by Olga G. Troyanskaya include:

  • SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma (2021, Science Translational Medicine)
  • Genomic RNA Elements Drive Phase Separation of the SARS-CoV-2 Nucleocapsid (2020, Molecular Cell)
  • A sequence-based global map of regulatory activity for deciphering human genetics (2022, Nature Genetics)
  • RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares (2020, New England Journal of Medicine)
  • Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis (2020, Neuron)

Frequent co-authors in their publications include:

  • Chandra L. Theesfeld
  • Rachel Sealfon
  • Stuart C. Sealfon
  • Aaron K. Wong
  • Alicja Tadych

Important publication venues for their work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the American Society of Nephrology
  • Kidney International
  • Nature Genetics

The scientist has been recognized with several awards, including:

  • ACM Fellow (2020) for contributions to computational biology, data integration, and deep learning applications for genome interpretation
  • Fellow of the International Society for Computational Biology (2017)
  • Fellow of Alfred P. Sloan Foundation (2005)

Best Publications

  • Missing value estimation methods for DNA microarrays.

    Olga G. Troyanskaya;Michael N. Cantor;Gavin Sherlock;Patrick O. Brown

  • The genetic landscape of a cell.

    Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim

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

    Jian Zhou;Olga G Troyanskaya

  • Diversity of gene expression in adenocarcinoma of the lung

    Mitchell E. Garber;Olga G. Troyanskaya;Karsten Schluens;Simone Petersen

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

    Michael Costanzo;Benjamin VanderSluis;Elizabeth N. Koch;Anastasia Baryshnikova

  • Understanding multicellular function and disease with human tissue-specific networks

    Casey S Greene;Arjun Krishnan;Aaron K Wong;Emanuela Ricciotti

  • Endothelial cell diversity revealed by global expression profiling

    Jen-Tsan Chi;Howard Y. Chang;Guttorm Haraldsen;Frode L. Jahnsen

  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)

    Olga G. Troyanskaya;Kara Dolinski;Art B. Owen;Russ B. Altman

  • Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry

    An Chi;Curtis Huttenhower;Lewis Y. Geer;Joshua J. Coon;Joshua J. Coon

  • Hierarchical multi-label prediction of gene function

    Zafer Barutcuoglu;Robert E. Schapire;Olga G. Troyanskaya

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

    Matthew J. Brauer;Curtis Huttenhower;Edoardo M. Airoldi;Rachel Rosenstein;Rachel Rosenstein

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

    Shrine N;Guyatt Al;Erzurumluoglu Am;Jackson Ve;Jackson Ve;Jackson Ve

  • Systemic and cell type-specific gene expression patterns in scleroderma skin.

    Michael L. Whitfield;Deborah R. Finlay;John Isaac Murray;Olga G. Troyanskaya

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

    Jian Zhou;Chandra L. Theesfeld;Kevin Yao;Kathleen M. Chen

  • Gene Expression Patterns in Ovarian Carcinomas

    Marci E. Schaner;Douglas T. Ross;Giuseppe Ciaravino;Therese Sørlie

  • Nonparametric methods for identifying differentially expressed genes in microarray data

    Olga G. Troyanskaya;Mitchell E. Garber;Patrick O. Brown;Patrick O. Brown;David Botstein

  • Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder

    Arjun Krishnan;Ran Zhang;Victoria Yao;Chandra L Theesfeld

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

    Anastasia Baryshnikova;Michael Costanzo;Yungil Kim;Huiming Ding

  • Exploring the functional landscape of gene expression

    Matthew A. Hibbs;David C. Hess;Chad L. Myers;Curtis Huttenhower

  • Variation in Gene Expression Patterns in Human Gastric Cancers

    Xin Chen;Suet Y. Leung;Siu T. Yuen;Kent-Man Chu

Frequent Co-Authors

Chad L. Myers
Chad L. Myers University of Minnesota
Curtis Huttenhower
Curtis Huttenhower Harvard University
Vessela N. Kristensen
Vessela N. Kristensen Oslo University Hospital
David Botstein
David Botstein Princeton University
Patrick O. Brown
Patrick O. Brown Stanford University
Casey S. Greene
Casey S. Greene University of Colorado Denver
Stuart C. Sealfon
Stuart C. Sealfon Icahn School of Medicine at Mount Sinai
Maitreya J. Dunham
Maitreya J. Dunham University of Washington
Kai Li
Kai Li Princeton University
Edgar A. Otto
Edgar A. Otto University of Michigan–Ann Arbor

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