An approach for integrating multimodal omics data into sparse and interpretable models.
Détails
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Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_FC1B402F5F17
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
An approach for integrating multimodal omics data into sparse and interpretable models.
Périodique
Cell reports methods
ISSN
2667-2375 (Electronic)
ISSN-L
2667-2375
Statut éditorial
Publié
Date de publication
26/02/2024
Peer-reviewed
Oui
Volume
4
Numéro
2
Pages
100718
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
Using omics data, a common goal is to identify a concise set of variables that predict a clinical endpoint from an extensive pool. In a recent paper published in Nature Biotechnology, Hédou et al. <sup>1</sup> introduced Stabl, a computational method crafted to identify sparse yet robust signatures linked to endpoints.
Mots-clé
Genomics, Biotechnology
Pubmed
Web of science
Open Access
Oui
Création de la notice
04/03/2024 16:05
Dernière modification de la notice
13/04/2024 6:04