Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm

BACKGROUND: In the application of microarray data, how to select a small number of informative genes from thousands of genes that may contribute to the occurrence of cancers is an important issue. Many researchers use various computational intelligence methods to analyzed gene expression data. RESUL...

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Detalles Bibliográficos
Autores principales: Chen, Kun-Huang, Wang, Kung-Jeng, Tsai, Min-Lung, Wang, Kung-Min, Adrian, Angelia Melani, Cheng, Wei-Chung, Yang, Tzu-Sen, Teng, Nai-Chia, Tan, Kuo-Pin, Chang, Ku-Shang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944936/
https://www.ncbi.nlm.nih.gov/pubmed/24555567
http://dx.doi.org/10.1186/1471-2105-15-49

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944936/
https://www.ncbi.nlm.nih.gov/pubmed/24555567
http://dx.doi.org/10.1186/1471-2105-15-49

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