Author

François Képès

Centre National de la Recherche ScientifiqueORCID 0000-0001-5766-4957Unclaimed 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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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Organism:human· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Konstantinos Koutroumpas· 2 shared Barbara Knapp· 1 shared Brunella FrancoiD· 1 shared Chunmei LiiD· 1 shared Colin A. JohnsoniD· 1 shared Dorus A. MansiD· 1 shared Erik de VriezeiD· 1 shared Erwin van WijkiD· 1 shared

Activity by Year

2015-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Konstantinos Koutroumpas

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedMay 16, 2019

CiliaCarta: An Integrated And Validated Compendium Of Ciliary Genes

Teunis J. P. van Dam, Julie E. Kennedy, Robin van der Lee…·Martijn A. Huynen

The paper identifies 285 candidate ciliary genes using integrated genomic, proteomic, and transcriptomic data, validated by experimental evidence and creating a resource for ciliopathy research.

168 citationstop 1%

humanzebrafish

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 1, 2015

Un-complicating protein complex prediction.

Konstantinos Koutroumpas, François Képès

The paper compares parametric and non-parametric methods for protein complex prediction, showing that non-parametric methods perform better or equally well when training data are limited.

DOI 10.1101/017376

yeastDrosophila

𝕏 PostBluesky