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
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
Auteur⸱e⸱s
Dong Y., Gottardo R.
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
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 17:05
Dernière modification de la notice
13/04/2024 7:04
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