SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles

Summary: A successful approach for predicting functional associations between non-homologous genes is to compare their phylogenetic distributions. We have devised a phylogenetic profiling algorithm, SVD-Phy, which uses truncated singular value decomposition to address the problem of uninformative pr...

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Detalles Bibliográficos
Autores principales: Franceschini, Andrea, Lin, Jianyi, von Mering, Christian, Jensen, Lars Juhl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896368/
https://www.ncbi.nlm.nih.gov/pubmed/26614125
http://dx.doi.org/10.1093/bioinformatics/btv696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896368/
https://www.ncbi.nlm.nih.gov/pubmed/26614125
http://dx.doi.org/10.1093/bioinformatics/btv696

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