Olga Troyanskaya

Olga Troyanskaya

Princeton University

H-index: 72

North America-United States

About Olga Troyanskaya

Olga Troyanskaya, With an exceptional h-index of 72 and a recent h-index of 49 (since 2020), a distinguished researcher at Princeton University, specializes in the field of bioinformatics, genomics, machine learning, computational biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning Sequence Models for Transcriptional Regulation

A cell autonomous regulator of neuronal excitability modulates tau in Alzheimer’s disease vulnerable neurons

Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project

Tapioca: a platform for predicting de novo protein–protein interactions in dynamic contexts

Peak-agnostic high-resolution cis-regulatory circuitry mapping using single cell multiome data

Author Correction: A placental model of SARS-CoV-2 infection reveals ACE2-dependent susceptibility and differentiation impairment in syncytiotrophoblasts

A methylation clock model of mild SARS‐CoV‐2 infection provides insight into immune dysregulation

184 Identifying murine tumor models that capture the differentiation trajectory of tumor infiltrating lymphocytes (TILs)

Olga Troyanskaya Information

University

Position

and Flatiron Institute Simons Foundation

Citations(all)

30721

Citations(since 2020)

12713

Cited By

23057

hIndex(all)

72

hIndex(since 2020)

49

i10Index(all)

151

i10Index(since 2020)

118

Email

University Profile Page

Google Scholar

Olga Troyanskaya Skills & Research Interests

bioinformatics

genomics

machine learning

computational biology

Top articles of Olga Troyanskaya

Deep Learning Sequence Models for Transcriptional Regulation

2024/4/9

A cell autonomous regulator of neuronal excitability modulates tau in Alzheimer’s disease vulnerable neurons

Brain

2024/3/11

Tapioca: a platform for predicting de novo protein–protein interactions in dynamic contexts

Nature Methods

2024/2/15

Peak-agnostic high-resolution cis-regulatory circuitry mapping using single cell multiome data

Nucleic acids research

2024/1/25

Author Correction: A placental model of SARS-CoV-2 infection reveals ACE2-dependent susceptibility and differentiation impairment in syncytiotrophoblasts

Nature Cell Biology

2024

184 Identifying murine tumor models that capture the differentiation trajectory of tumor infiltrating lymphocytes (TILs)

Journal of Investigative Dermatology

2023/5/1

Oral mucosal breaks trigger anti-citrullinated bacterial and human protein antibody responses in rheumatoid arthritis

Science Translational Medicine

2023/2/22

Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Nature Computational Science

2023

Interpretable neural architecture search and transfer learning for understanding CRISPR–Cas9 off-target enzymatic reactions

Nature Computational Science

2023

Automated single-cell omics end-to-end framework with data-driven batch inference

bioRxiv

2023/11/4

277 SynNotch-CAR T cells demonstrate potent anti-tumor efficacy in a preclinical immunocompetent mouse model for glioblastoma

2023/11/1

Combinatorial antigen recognition in cancer t cell therapies

2023/10/19

OR01-06 Single Nucleus Multi-omics Analysis Identifies Cellular Trajectories And Dynamic Changes In Gene Expression And Chromatin Accessibility In The Pituitary During The …

Journal of the Endocrine Society

2023/10

Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise

bioRxiv

2023/9/28

Atlas of primary cell-type-specific sequence models of gene expression and variant effects

Cell Reports Methods

2023/9/25

Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Nature computational science

2023/7

Markers and cellular anteceents of rheumatoid arthritis flares

2023/6/29

See List of Professors in Olga Troyanskaya University(Princeton University)

Co-Authors

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