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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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| Published in: | Bioinformatics |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2018
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| Subjects: | |
| Online Access: | 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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