A new regularized least squares support vector regression for gene selection |
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| Authors: | Pei-Chun Chen Su-Yun Huang Wei J Chen and Chuhsing K Hsiao |
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| Institution: | (1) Bioinformatics and Biostatistics Core Laboratory, National Taiwan University, Taipei, Taiwan, Republic of China;(2) Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, Republic of China;(3) Department of Public Health, National Taiwan University, Taipei, Taiwan, Republic of China;(4) Institute of Epidemiology, National Taiwan University, Taipei, Taiwan, Republic of China |
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| Abstract: | Background Selection of influential genes with microarray data often faces the difficulties of a large number of genes and a relatively
small group of subjects. In addition to the curse of dimensionality, many gene selection methods weight the contribution from
each individual subject equally. This equal-contribution assumption cannot account for the possible dependence among subjects
who associate similarly to the disease, and may restrict the selection of influential genes. |
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