Author

Stefan Naulaerts

Centre National de la Recherche ScientifiqueORCID 0000-0002-1880-6374Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Pedro J. BallesteriD· 2 shared Alejandra BrunaiD· 1 shared Alexandra BomaneiD· 1 shared Eddy PasquieriD· 1 shared Ghita GhislatiD· 1 shared Jérémy Ariey-BonnetiD· 1 shared Linh C. NguyeniD· 1 shared Pavel SidoroviD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Pedro J. BallesterORCID

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2 papers

Recent·Most cited

BioinformaticsFrontiers in ChemistryPeer-reviewedJul 16, 2019

Predicting synergism of cancer drug combinations using NCI-ALMANAC data

Pavel Sidorov, Stefan Naulaerts, Jérémy Ariey-Bonnet…·Pedro J. Ballester

The paper predicts synergistic cancer drug combinations using NCI-ALMANAC data with machine learning models, achieving high accuracy and reliability.

152 citationstop 1%

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 4, 2018

Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles

Linh C. Nguyen, Stefan Naulaerts, Alexandra Bomane…·Pedro J. Ballester

The paper uses machine learning to predict drug response in tumour models by reducing molecular profile dimensionality, finding multi-gene predictors outperform single-gene markers in several cancer types.

7 citations

bulk RNA-seqmachine learning (classical)

𝕏 PostBluesky