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Article (Scientific journals)
Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping
Li, Zuqi; Katz, Sonja; Saccenti, Edoardo et al.
2024 • In Briefings in Bioinformatics, 25 (6), p. 512
Peer Reviewed verified by ORBi
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https://hdl.handle.net/2268/323617
DOI
10.1093/bib/bbae512
PubMed
39413796
 

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Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Li, Zuqi ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Bioinformatique
Katz, Sonja
Saccenti, Edoardo
Fardo, David W
Claes, Peter
Martins dos Santos, Vitor AP
Van Steen, Kristel  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Bioinformatique
Roshchupkin, Gennady V
Language :
English
Title :
Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping
Publication date :
2024
Journal title :
Briefings in Bioinformatics
ISSN :
1467-5463
eISSN :
1477-4054
Volume :
25
Issue :
6
Pages :
bbae512
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 18 October 2024

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