Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis

BACKGROUND: In cancer prognosis studies with gene expression measurements, an important goal is to construct gene signatures with predictive power. In this study, we describe the coordination among genes using the weighted coexpression network, where nodes represent genes and nodes are connected if...

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Detalles Bibliográficos
Autores principales: Ma, Shuangge, Kosorok, Michael R, Huang, Jian, Dai, Ying
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037289/
https://www.ncbi.nlm.nih.gov/pubmed/21226928
http://dx.doi.org/10.1186/1755-8794-4-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037289/
https://www.ncbi.nlm.nih.gov/pubmed/21226928
http://dx.doi.org/10.1186/1755-8794-4-5

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