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BEM: Mining Coregulation Patterns in Transcriptomics via Boolean Matrix Factorization
MOTIVATION: The matrix factorization is an important way to analyze coregulation patterns in transcriptomic data, which can reveal the tumor signal perturbation status and subtype classification. However, current matrix factorization methods do not provide clear bicluster structure. Furthermore, the...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7332573/ https://ncbi.nlm.nih.gov/pubmed/31913438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz977 |
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