Author

Philippe E Thomas

German Research Centre for Artificial IntelligenceORCID 0000-0001-9136-9660Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Ammar QaseemiD· 1 shared Aurélien F. A. MoumbockiD· 1 shared Florian Sauter· 1 shared Jianyu LiiD· 1 shared Kersten Döring· 1 shared Kiran K. TelukuntaiD· 1 shared Michael Becer· 1 shared Mingjie GaoiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ammar QaseemORCID

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1 paper

Recent·Most cited

Automated recognition of functional compound-protein relationships in literature

Kersten Döring, Ammar Qaseem, Michael Becer, Jianyu Li, Pankaj Mishra, Mingjie Gao, Pascal A Kirchner, Florian Sauter, Kiran K. Telukunta, Aurélien F. A. Moumbock, Philippe E Thomas, Stefan Günther

The paper develops a benchmark dataset and two machine learning models to classify compound-protein relationships in scientific abstracts as functional or non-functional.

PLoS ONE · Mar 3, 2020Peer-reviewedBioinformatics