MOTL: enhancing multi-omics matrix factorization with transfer learning

MOTL: enhancing multi-omics matrix factorization with transfer learning

Abstract Joint matrix factorization is popular for extracting lower dimensional representations of multi-omics data but loses effectiveness with limited samples. Addressing this limitation, we introduce MOTL (Multi-Omics Transfer Learning), a framework that enhances MOFA (Multi-Omics Factor Analysis...

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Bibliographic Details
Main Authors: David P. Hirst, Morgane Térézol, Laura Cantini, Paul Villoutreix, Matthieu Vignes, Anaïs Baudot
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Genome Biology
Subjects:
Matrix factorization
Dimensionality reduction
Multi-omics
Data integration
Transfer learning
MOFA
Online Access:https://doi.org/10.1186/s13059-025-03675-7
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https://doi.org/10.1186/s13059-025-03675-7

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