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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Detalles Bibliográficos
Autores principales: Zakeri, Pooya, Simm, Jaak, Arany, Adam, ElShal, Sarah, Moreau, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022676/
https://www.ncbi.nlm.nih.gov/pubmed/29949967
http://dx.doi.org/10.1093/bioinformatics/bty289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022676/
https://www.ncbi.nlm.nih.gov/pubmed/29949967
http://dx.doi.org/10.1093/bioinformatics/bty289

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