Author

Bettina Lengger

Novo Nordisk FoundationORCID 0000-0001-9997-7011Unclaimed 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:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:yeast· 1

Frequent Co-Authors

Carlos G. Acevedo‐RochaiD· 1 shared Emil D. JenseniD· 1 shared Frederik G. HanssoniD· 1 shared Jay D. KeaslingiD· 1 shared Lea G. HanseniD· 1 shared Michael Krogh JenseniD· 1 shared Niklas Gesmar MadseniD· 1 shared Tadas JakočiūnasiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Carlos G. Acevedo‐RochaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 29, 2024

Labels as a Feature: Network Homophily for Systematically Discovering human GPCR Drug-Target Interactions

Frederik G. Hansson, Niklas Gesmar Madsen, Lea G. Hansen…·Emil D. Jensen

The paper introduces a model called CSNN that uses network homophily to improve in-distribution predictions of drug-target interactions for human GPCRs.

DOI 10.1101/2024.03.29.586957

yeastgraph neural network

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