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Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Hsi-Che Liu,Pei-Chen Peng,Tzung-Chien Hsieh,Ting-Chi Yeh,Chih-Jen Lin,Chien-Yu Chen,Jen-Yin Hou,Lee-Yung Shih,Der-Cherng Liang
Issue Date:July 2013
pp. 1
The amount of gene expression data of microarray has grown exponentially. To apply them for extensive studies, integrated analysis of cross-laboratory (cross-lab) data becomes a trend and thus choosing an appropriate feature selection method is an essentia...
 
Comparison of Feature Selection Methods for Cross-Laboratory Microarray Analysis
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Der-Cherng Liang, Hsi-Che Liu, Jen-Yin Hou, Lee-Yung Shih, Pei-Chen Peng, Tzung-Chien Hsieh, Chien-Yu Chen, Chih-Jen Lin, Ting-Chi Yeh
Issue Date:May 2013
pp. 593-604
The amount of gene expression data of microarray has grown exponentially. To apply them for extensive studies, integrated analysis of cross-laboratory (cross-lab) data becomes a trend, and thus, choosing an appropriate feature selection method is an essent...
     
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