Article
Improved feature-based prediction of SNPs in human cytochrome P450 enzymes.
Interdisciplinary sciences, computational life sciences - 1 Mar 2015
Li Li, Xiong Yi, Zhang Zhuo-Yu, Guo Quan, Xu Qin, Liow Hien-Haw, Zhang Yong-Hong, Wei Dong-Qing
Abstract excerpt
Single nucleotide polymorphisms (SNPs) make up the most common form of mutations in human cytochrome P450 enzymes family, and have the potential to bring with different drug responses or specific diseases in individual patients. Here, based on machine learning technology, we aim to explore an effective set of sequence-based features for improving prediction of SNPs by using support vector machine algorithms. The...
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