Olga G. Troyanskaya
Affiliations: | Computer Science | Princeton University, Princeton, NJ | |
| 2003 | Stanford University, Palo Alto, CA |
Area:
Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinfoGoogle:
"Olga Troyanskaya"Cross-listing: Computer Science Tree
Parents
Sign in to add mentor| Russ Altman | grad student | 2003 | Stanford (GenetiTree) | |
| (Improving the specificity of biological signal detection from microarray data.) | ||||
| David Botstein | grad student | 2003 | Stanford | |
| (Improving the specificity of biological signal detection from microarray data.) | ||||
Children
Sign in to add trainee| Ruth Dannenfelser | grad student | Princeton (Computational Biology Tree) | |
| Chad L Myers | grad student | ||
| Vicky Yao | grad student | Princeton | |
| Jian Zhou | grad student | ||
| Qian Zhu | grad student | Princeton | |
| Zixiang Zhou | grad student | 2023- | Princeton |
| Anusha Aggarwal | grad student | 2024- | Princeton |
| Sarah K Dobbins | grad student | 2024- | Princeton |
| Joyce Fang | grad student | 2024- | Princeton |
| Christopher Sun | grad student | 2024- | Princeton |
| Matthew A Hibbs | grad student | 2003-2008 | Princeton |
| Curtis Huttenhower | grad student | 2009 | Princeton |
| Yuanfang Guan | grad student | 2010 | Princeton |
| Maria Chikina | grad student | 2011 | Princeton |
| Patrick H. Bradley | grad student | 2005-2012 | Princeton |
| Ana Bell | grad student | 2013 | Princeton |
| Kiley Graim | post-doc | ||
| Yun Hao | post-doc | Flatiron Institute (Physics Tree) | |
| Natalie Sauerwald | post-doc | 2020- | Flatiron Institute (Neurotree) |
| Zhicheng Pan | post-doc | 2022- | |
| Casey S. Greene | post-doc | 2009-2012 | Princeton (Computational Biology Tree) |
| Arjun Krishnan | post-doc | 2011-2016 | Michigan State |
BETA: Related publications
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Publications
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| Sokolova K, Chen KM, Hao Y, et al. (2024) Deep Learning Sequence Models for Transcriptional Regulation. Annual Review of Genomics and Human Genetics |
| Rodriguez-Rodriguez P, Arroyo-Garcia LE, Tsagkogianni C, et al. (2024) A cell autonomous regulator of neuronal excitability modulates tau in Alzheimer's disease vulnerable neurons. Brain : a Journal of Neurology |
| Zhang Z, Sauerwald N, Cappuccio A, et al. (2023) Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease. Cell Reports Methods. 3: 100395 |
| Mao W, Miller CM, Nair VD, et al. (2023) A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation. Molecular Systems Biology. e11361 |
| Brewer RC, Lanz TV, Hale CR, et al. (2023) Oral mucosal breaks trigger anti-citrullinated bacterial and human protein antibody responses in rheumatoid arthritis. Science Translational Medicine. 15: eabq8476 |
| Cappuccio A, Chawla DG, Chen X, et al. (2022) Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature. Cell Systems. 13: 989-1001.e8 |
| Sauerwald N, Zhang Z, Ramos I, et al. (2022) Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection. Cell Systems |
| Chen KM, Wong AK, Troyanskaya OG, et al. (2022) A sequence-based global map of regulatory activity for deciphering human genetics. Nature Genetics |
| Jaiswal A, Verma A, Dannenfelser R, et al. (2022) An activation to memory differentiation trajectory of tumor-infiltrating lymphocytes informs metastatic melanoma outcomes. Cancer Cell. 40: 524-544.e5 |
| Soares-Schanoski A, Sauerwald N, Goforth CW, et al. (2022) Asymptomatic SARS-CoV-2 Infection Is Associated With Higher Levels of Serum IL-17C, Matrix Metalloproteinase 10 andĀ Fibroblast Growth Factors Than Mild Symptomatic COVID-19. Frontiers in Immunology. 13: 821730 |