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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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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | 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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