Troyanskaya Lab
@TroyanskayaLab
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This account is run by Olga Troyanskaya and her group focusing on computational functional genomics at Princeton University.
Princeton, NJ
Joined August 2011
RT @zhou_jian: The Sei web server on humanbase ( is now updated to add the capability of computing Sei predictions….
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RT @zhou_jian: @kathyxchen’s paper for sequence-based global map of regulatory activity is now out (! Congratulatio….
nature.com
Nature Genetics - Sei is a new framework for integrating human genetics data with a sequence-based mapping of predicted regulatory activities to elucidate mechanisms contributing to complex traits...
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Blazing-fast image creation – using just your voice. Try Grok Imagine.
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RT @NatRevMater: Machine learning in materials science! All our articles on machine learning in one collection, featuring @EKumachevaGroup….
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RT @kathyxchen: Our new preprint (w/ @zhou_jian) is out! 🎉 We developed sequence classes, which allow for easily interpretable yet systemat….
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RT @NatureRevGenet: Decoding disease: from genomes to networks to phenotypes #Review by @wongak, Rachel S. G. Sealf….
nature.com
Nature Reviews Genetics - In this Review, the authors discuss computational methods for interpreting the molecular and clinical effects of genetic variants. They focus on methods leveraging machine...
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Check out our latest review in NRG on decoding disease - from genomes to networks to phenotypes!.
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Check out our review of machine learning methods to model multicellular complexity!.
High-throughput experiments generate large data sets that allow the study of multicellular complexity; #MachineLearning can help analyse, interpret and model these datasets. Read more in the Review by Rachel Sealfon, @wongak & @OlgaTroyanskaya:
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RT @NatRevMater: High-throughput experiments generate large data sets that allow the study of multicellular complexity; #MachineLearning ca….
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RT @UCSFCancer: Combing through millions of possible protein combinations to assemble a catalog that could be used to precisely target only….
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RT @compbiologist: It's #OlgaFest today in Michigan! 😀. @OlgaTroyanskaya's academic children & grandchildren are speaking in today's @Women….
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RT @OlgaTroyanskaya: Check out - from tissue-specific networks to mutational regulatory impact to disease gene pred….
simonsfoundation.org
This powerful, dynamic software system is changing how scientists sift through the recent deluge of human genomic data — and deepening our knowledge of human biology, health and disease
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thrilled to be a part of this collaboration and apply our cell-type specific networks at @HumanBaseFI to COVID-19.
SARS-CoV-2 receptor networks in diabetic and COVID-19 associated kidney disease . @MiKTMC @UMichKidney @umichmedicine @Berthiercc @OlgaTroyanskaya .
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RT @medrxivpreprint: SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney inj….
medrxiv.org
COVID-19 morbidity and mortality is significantly increased in patients with diabetes and kidney disease via unknown mechanisms. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into...
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RT @zhou_jian: Hi genomics community! I recently started my own group at UTSW. We are looking for postdoc and students interested in machin….
zhoulab.io
Computational Biology lab at UT Southwestern. We develop machine learning and statistical methods for genomics.
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RT @OlgaTroyanskaya: Our latest paper on noncoding contributions in #autism using deep learning models is out in @NatureGenet. De novo nonc….
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RT @OlgaTroyanskaya: Great description of our work out at Nature Genetics: "AI Accurately Predicts Effects of Genetic Mutations in Biologic….
simonsfoundation.org
AI Accurately Predicts Effects of Genetic Mutations in Biological Dark Matter on Simons Foundation
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RT @OlgaTroyanskaya: ExPecto predicts tissue-specific expression and variant effect ab initio from sequence, prioritizes all GWAS variants,….
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RT @OlgaTroyanskaya: Proud of our discovery of noncoding regulatory signal in autism. Independently confirmed in discovery and replication….
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RT @bloodgenes: Great talk from @OlgaTroyanskaya on predicting effects of mutations with DeepSEA and now being able to predict tissue speci….
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RT @PrincetonCS: CS Prof. Olga Troyanskaya and team presented big-data approaches to drug development at the "Celebrate Princeton Invention….
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