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Troyanskaya Lab Profile
Troyanskaya Lab

@TroyanskayaLab

Followers
561
Following
29
Statuses
68

This account is run by Olga Troyanskaya and her group focusing on computational functional genomics at Princeton University.

Princeton, NJ
Joined August 2011
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@TroyanskayaLab
Troyanskaya Lab
2 years
@andrewsu you also might find MetaSRA useful
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@TroyanskayaLab
Troyanskaya Lab
3 years
RT @zhou_jian: The Sei web server on humanbase ( is now updated to add the capability of computing Sei predictions…
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@TroyanskayaLab
Troyanskaya Lab
3 years
RT @zhou_jian: @kathyxchen’s paper for sequence-based global map of regulatory activity is now out (! Congratulatio…
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@TroyanskayaLab
Troyanskaya Lab
3 years
RT @FlatironCCB: This week is #OpenScienceWeek! Check out some of the open-source software projects happening at CCB:
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@TroyanskayaLab
Troyanskaya Lab
3 years
RT @NatRevMater: Machine learning in materials science! All our articles on machine learning in one collection, featuring @EKumachevaGroup
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@TroyanskayaLab
Troyanskaya Lab
4 years
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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@TroyanskayaLab
Troyanskaya Lab
4 years
RT @NatureRevGenet: Decoding disease: from genomes to networks to phenotypes #Review by @wongak, Rachel S. G. Sealf…
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@TroyanskayaLab
Troyanskaya Lab
4 years
RT @Immunoscope: Decoding disease: from genomes to networks to phenotypes | #GWAS #SNP #SVM #CNN | Aaron Wong & Olga Troyanskaya @wongak @O
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@TroyanskayaLab
Troyanskaya Lab
4 years
Check out our latest review in NRG on decoding disease - from genomes to networks to phenotypes!
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@TroyanskayaLab
Troyanskaya Lab
4 years
Check out our review of machine learning methods to model multicellular complexity!
@NatRevMater
NatRevMaterials
4 years
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:
Tweet media one
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@TroyanskayaLab
Troyanskaya Lab
4 years
RT @NatRevMater: High-throughput experiments generate large data sets that allow the study of multicellular complexity; #MachineLearning ca…
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@TroyanskayaLab
Troyanskaya Lab
4 years
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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@TroyanskayaLab
Troyanskaya Lab
4 years
RT @compbiologist: It's #OlgaFest today in Michigan! 😀 @OlgaTroyanskaya's academic children & grandchildren are speaking in today's @Women
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@TroyanskayaLab
Troyanskaya Lab
4 years
RT @OlgaTroyanskaya: Check out - from tissue-specific networks to mutational regulatory impact to disease gene pred…
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@TroyanskayaLab
Troyanskaya Lab
4 years
thrilled to be a part of this collaboration and apply our cell-type specific networks at @HumanBaseFI to COVID-19.
@minimalchange
Abhijit (Jeet) Naik
4 years
SARS-CoV-2 receptor networks in diabetic and COVID-19 associated kidney disease . @MiKTMC @UMichKidney @umichmedicine @Berthiercc @OlgaTroyanskaya .
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@TroyanskayaLab
Troyanskaya Lab
5 years
RT @medrxivpreprint: SARS-CoV-2 receptor networks in diabetic kidney disease, BK-Virus nephropathy and COVID-19 associated acute kidney inj…
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@TroyanskayaLab
Troyanskaya Lab
5 years
RT @FlatironCCB: Mutations in Uncharted Territory – this article for the @SimonsFdn 25th Anniversary celebration highlights the work of @Fl
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@TroyanskayaLab
Troyanskaya Lab
5 years
RT @zhou_jian: Hi genomics community! I recently started my own group at UTSW. We are looking for postdoc and students interested in machin…
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@TroyanskayaLab
Troyanskaya Lab
6 years
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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@TroyanskayaLab
Troyanskaya Lab
6 years
RT @FlatironCCB: "Troyanskaya and her team are harnessing the power of technologies like artificial intelligence to solve problems in biolo…
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