A. Wong

发表

Understanding multicellular function and disease with human tissue-specific networks

Daniel S. Himmelstein, K. Dolinski, O. Troyanskaya, 2015, Nature Genetics.

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

Chandra L. Theesfeld, Kathleen M. Chen, O. Troyanskaya, 2018, Nature Genetics.

Genome-wide characterization of genetic and functional dysregulation in autism spectrum disorder

Chandra L. Theesfeld, O. Troyanskaya, A. Lash, 2016, bioRxiv.

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

Chandra L. Theesfeld, O. Troyanskaya, A. Lash, 2016, Nature Neuroscience.

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk

Christopher Y. Park, Chandra L. Theesfeld, O. Troyanskaya, 2019, Nature Genetics.

DeepArk: modeling cis-regulatory codes of model species with deep learning

Evan M. Cofer, Chandra L. Theesfeld, O. Troyanskaya, 2020, bioRxiv.

Automated Function Prediction Featuring a Critical Assessment of Function Annotations

M. Tress, S. Kasif, Guy Nimrod, 2011 .

Spatial Transcriptional Mapping of the Human Nephrogenic Program

Rachel S. G. Sealfon, O. Troyanskaya, Jian Zhou, 2020, bioRxiv.

Homing of Neural Stem Cells From the Venous Compartment Into a Brain Infarct Does Not Involve Conventional Interactions With Vascular Endothelium

E. Snyder, A. Wong, D. Wakeman, 2014, Stem cells translational medicine.

Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms

Qian Zhu, Olga G. Troyanskaya, Christopher Y. Park, 2015, Bioinform..

Decoding disease: from genomes to networks to phenotypes

Chandra L. Theesfeld, Rachel S. G. Sealfon, O. Troyanskaya, 2021, Nature Reviews Genetics.

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

Kathleen M. Chen, O. Troyanskaya, Jian Zhou, 2021, Nature Genetics.

Machine learning methods to model multicellular complexity and tissue specificity

Rachel S. G. Sealfon, O. Troyanskaya, A. Wong, 2021, Nature Reviews Materials.

Modeling transcriptional regulation of model species with deep learning

Evan M. Cofer, Chandra L. Theesfeld, O. Troyanskaya, 2021, Genome research.

Tissue-specific enhancer functional networks for associating distal regulatory regions to disease.

Christopher Y. Park, Chandra L. Theesfeld, O. Troyanskaya, 2021, Cell systems.

An integrative tissue-network approach to identify and test human disease genes

Olga G Troyanskaya, Victoria Yao, Salman Sohrabi, 2018, Nature Biotechnology.

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk

Christopher Y. Park, O. Troyanskaya, J. Fak, 2019, Nature Genetics.

SARS-CoV-2 receptor networks in diabetic and COVID-19 associated kidney disease

O. Troyanskaya, V. Nair, J. Hodgin, 2020 .

Genome-wide landscape of RNA-binding protein target site dysregulation reveals a major impact on psychiatric disorder risk

Christopher Y. Park, Chandra L. Theesfeld, Kathleen M. Chen, 2021, Nature Genetics.

Genome-wide landscape of RNA-binding protein dysregulation reveals a major impact on psychiatric disorder risk

Christopher Y. Park, Chandra L. Theesfeld, Kathleen M. Chen, 2020, bioRxiv.

Molecular Characterization of Membranous Nephropathy

Rachel S. G. Sealfon, O. Troyanskaya, V. Nair, 2022, Journal of the American Society of Nephrology : JASN.

SARS-CoV-2 receptor networks in diabetic and COVID-19–associated kidney disease

Chandra L. Theesfeld, Rachel S. G. Sealfon, O. Troyanskaya, 2020, Kidney International.

SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney injury

Chandra L. Theesfeld, Rachel S. G. Sealfon, O. Troyanskaya, 2020, medRxiv.

Tissue-Specific Functional Networks for Prioritizing Phenotype and Disease Genes

Yuanfang Guan, Olga G. Troyanskaya, Margit Burmeister, 2012, PLoS Comput. Biol..

IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks

Olga G. Troyanskaya, Arjun Krishnan, Aaron K. Wong, 2015, Nucleic Acids Res..

Targeted exploration and analysis of large cross-platform human transcriptomic compendia

Kai Li, Moses Charikar, Olga G. Troyanskaya, 2015, Nature Methods.

FNTM: a server for predicting functional networks of tissues in mouse

Olga G. Troyanskaya, Arjun Krishnan, Jonathan Goya, 2015, Nucleic Acids Res..

Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes

Casey S. Greene, Yuanfang Guan, Olga G. Troyanskaya, 2013, PLoS Comput. Biol..

Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

Christopher Y. Park, Olga G Troyanskaya, Dmitriy Gorenshteyn, 2015, Immunity.

Interpretation of an individual functional genomics experiment guided by massive public data

Christopher Y. Park, Young-Suk Lee, Olga G Troyanskaya, 2018, Nature Methods.

IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks

Casey S. Greene, Yuanfang Guan, Olga G. Troyanskaya, 2012, Nucleic Acids Res..

GIANT 2.0: genome-scale integrated analysis of gene networks in tissues

Olga G. Troyanskaya, Arjun Krishnan, Aaron K. Wong, 2018, Nucleic Acids Res..

Low‐variance RNAs identify Parkinson's disease molecular signature in blood

O. Troyanskaya, S. Sealfon, Yongchao Ge, 2015, Movement disorders : official journal of the Movement Disorder Society.

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer’s disease: a study of ADNI cohorts

A. Saykin, Sungeun Kim, S. Risacher, 2016, BioData Mining.

Enabling Precision Medicine through Integrative Network Models.

Olga G Troyanskaya, Victoria Yao, Aaron K Wong, 2018, Journal of molecular biology.

Enabling Precis Integrative Netw

A. Wong, Victoria Yao, G. Troyanskaya, 2018 .

Interpretation of an individual functional genomics experiment guided by massive public data

Christopher Y. Park, Boris M. Hartmann, O. Troyanskaya, 2018, Nature Methods.

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

Chandra L. Theesfeld, K. Dolinski, O. Troyanskaya, 2023, Cell reports methods.

Understanding multicellular function and disease with human tissue-specific networks

Daniel S. Himmelstein, Boris M. Hartmann, K. Dolinski, 2015, Nature Genetics.

GIANT 2.0: genome-scale integrated analysis of gene networks in tissues

O. Troyanskaya, Arjun Krishnan, A. Wong, 2018, Nucleic Acids Res..

Tribe: The collaborative platform for reproducible web-based analysis of gene sets

Marylyn D. Ritchie, Casey S. Greene, Alex T. Frase, 2016, bioRxiv.

GIANT API: an application programming interface for functional genomics

Olga G. Troyanskaya, Aaron K. Wong, Ian Fisk, 2016, Nucleic Acids Res..

Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

Christopher Y. Park, Boris M. Hartmann, O. Troyanskaya, 2015, Immunity.

Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms

Christopher Y. Park, O. Troyanskaya, Young-suk Lee, 2015, Bioinform..