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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Bibliographic Details
Published in:Bioinformatics
Main Authors: Zakeri, Pooya, Simm, Jaak, Arany, Adam, ElShal, Sarah, Moreau, Yves
Format: Artigo
Language:Inglês
Published: Oxford University Press 2018
Subjects:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
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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