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Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information
MOTIVATION: Most gene prioritization methods model each disease or phenotype individually, but this fails to capture patterns common to several diseases or phenotypes. To overcome this limitation, we formulate the gene prioritization task as the factorization of a sparsely filled gene-phenotype matr...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022676/ https://ncbi.nlm.nih.gov/pubmed/29949967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty289 |
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