Author

Stuart Tugendreich

Qiagen (United States)ORCID 0009-0005-4896-7856Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:gene regulatory network inference· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. KrämeriD· 2 shared Jean-Noël BillaudiD· 2 shared Jeff Green· 2 shared Martin Jones· 2 shared Dan Shiffman· 1 shared Nicoleta Andreea PasareiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 14 mutual co-author links

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2 shared papersBioinformatics

A. KrämerORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Mining hidden knowledge: Embedding models of cause-effect relationships curated from the biomedical literature

A. Krämer, Jeff Green, Jean-Noël Billaud…·Stuart Tugendreich

The paper constructs gene and function embeddings from literature-curated causal relationships to predict gene-function associations and disease drivers.

7 citations

statistical modelgene regulatory network inference

𝕏 PostBluesky

Systems BiologyBMC BioinformaticsPeer-reviewedMay 3, 2021

The Coronavirus Network Explorer: Mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function

A. Krämer, Jean-Noël Billaud, Stuart Tugendreich…·Jeff Green

The paper connects SARS-CoV-2 viral proteins to host cell functions and diseases using a knowledge graph and machine learning, identifying potential drug targets for COVID-19.

11 citations

humanproteomics

𝕏 PostBluesky