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Assessing reproducibility of matrix factorization methods in independent transcriptomes

MOTIVATION: Matrix factorization (MF) methods are widely used in order to reduce dimensionality of transcriptomic datasets to the action of few hidden factors (metagenes). MF algorithms have never been compared based on the between-datasets reproducibility of their outputs in similar independent dat...

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Détails bibliographiques
Publié dans:Bioinformatics
Auteurs principaux: Cantini, Laura, Kairov, Ulykbek, de Reyniès, Aurélien, Barillot, Emmanuel, Radvanyi, François, Zinovyev, Andrei
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6821374/
https://ncbi.nlm.nih.gov/pubmed/30938767
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz225
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