Integrating phenotype and gene expression data for predicting gene function

BACKGROUND: This paper presents a framework for integrating disparate data sets to predict gene function. The algorithm constructs a graph, called an integrated similarity graph, by computing similarities based upon both gene expression and textual phenotype data. This integrated graph is then used...

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Detalles Bibliográficos
Autores principales: Malone, Brandon M, Perkins, Andy D, Bridges, Susan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226192/
https://www.ncbi.nlm.nih.gov/pubmed/19811686
http://dx.doi.org/10.1186/1471-2105-10-S11-S20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226192/
https://www.ncbi.nlm.nih.gov/pubmed/19811686
http://dx.doi.org/10.1186/1471-2105-10-S11-S20

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