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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Detalles Bibliográficos
Autores principales: Cantini, Laura, Kairov, Ulykbek, de Reyniès, Aurélien, Barillot, Emmanuel, Radvanyi, François, Zinovyev, Andrei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821374/
https://www.ncbi.nlm.nih.gov/pubmed/30938767
http://dx.doi.org/10.1093/bioinformatics/btz225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821374/
https://www.ncbi.nlm.nih.gov/pubmed/30938767
http://dx.doi.org/10.1093/bioinformatics/btz225

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