An approach for integrating multimodal omics data into sparse and interpretable models.
Details
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State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_FC1B402F5F17
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An approach for integrating multimodal omics data into sparse and interpretable models.
Journal
Cell reports methods
ISSN
2667-2375 (Electronic)
ISSN-L
2667-2375
Publication state
Published
Issued date
26/02/2024
Peer-reviewed
Oui
Volume
4
Number
2
Pages
100718
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
Keywords
Genomics, Biotechnology
Pubmed
Web of science
Open Access
Yes
Create date
04/03/2024 16:05
Last modification date
13/04/2024 6:04