Author

Raphaël Teboul

InsermORCID 0000-0003-1890-8984Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Éric LetouzéiD· 1 shared Jessica Zucman‐RossiiD· 1 shared Michalina GrabiasiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Éric LetouzéORCID

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1 paper

Recent·Most cited

BioinformaticsNAR CancerPeer-reviewedMar 11, 2023

Discovering cryptic splice mutations in cancers via a deep neural network framework

Raphaël Teboul, Michalina Grabias, Jessica Zucman‐Rossi, Éric Letouzé

This study uses SpliceAI to identify cryptic splice mutations in cancer, finding over 100,000 such mutations across 18,115 tumors and uncovering new candidate driver genes.

6 citations

humanwhole-genome sequencing

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