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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Detaylı Bibliyografya
Yayımlandı:Bioinformatics
Asıl Yazarlar: Cantini, Laura, Kairov, Ulykbek, de Reyniès, Aurélien, Barillot, Emmanuel, Radvanyi, François, Zinovyev, Andrei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2019
Konular:
Original Papers
Online Erişim: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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