Improving accuracy for cancer classification with a new algorithm for genes selection

BACKGROUND: Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish an effective method that can select a parsimonious set of relevant genes....

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Detalles Bibliográficos
Autores principales: Zhang, Hongyan, Wang, Haiyan, Dai, Zhijun, Chen, Ming-shun, Yuan, Zheming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562261/
https://www.ncbi.nlm.nih.gov/pubmed/23148517
http://dx.doi.org/10.1186/1471-2105-13-298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562261/
https://www.ncbi.nlm.nih.gov/pubmed/23148517
http://dx.doi.org/10.1186/1471-2105-13-298

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