Gene Expression Data Classification Using Consensus Independent Component Analysis

We propose a new method for tumor classification from gene expression data, which mainly contains three steps. Firstly, the original DNA microarray gene expression data are modeled by independent component analysis (ICA). Secondly, the most discriminant eigenassays extracted by ICA are selected by t...

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Detalles Bibliográficos
Autores principales: Zheng, Chun-Hou, Huang, De-Shuang, Kong, Xiang-Zhen, Zhao, Xing-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2008
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054104/
https://www.ncbi.nlm.nih.gov/pubmed/18973863
http://dx.doi.org/10.1016/S1672-0229(08)60022-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054104/
https://www.ncbi.nlm.nih.gov/pubmed/18973863
http://dx.doi.org/10.1016/S1672-0229(08)60022-4

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