Gene Expression Profiling of Colorectal Tumors and Normal Mucosa by Microarrays Meta-Analysis Using Prediction Analysis of Microarray, Artificial Neural Network, Classification, and Regression Trees

Background. Microarray technology shows great potential but previous studies were limited by small number of samples in the colorectal cancer (CRC) research. The aims of this study are to investigate gene expression profile of CRCs by pooling cDNA microarrays using PAM, ANN, and decision trees (CART...

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Detalles Bibliográficos
Autores principales: Chu, Chi-Ming, Yao, Chung-Tay, Chang, Yu-Tien, Chou, Hsiu-Ling, Chou, Yu-Ching, Chen, Kang-Hua, Terng, Harn-Jing, Huang, Chi-Shuan, Lee, Chia-Cheng, Su, Sui-Lun, Liu, Yao-Chi, Lin, Fu-Gong, Wetter, Thomas, Chang, Chi-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055246/
https://www.ncbi.nlm.nih.gov/pubmed/24959000
http://dx.doi.org/10.1155/2014/634123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055246/
https://www.ncbi.nlm.nih.gov/pubmed/24959000
http://dx.doi.org/10.1155/2014/634123

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