期刊
BIOINFORMATICS
卷 32, 期 14, 页码 2205-2207出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw203
关键词
-
类别
资金
- NIH [R01 HG0007348]
- IPM [CS1391-4-02, 94050016]
We present a new R package for training gapped-kmer SVM classifiers for DNA and protein sequences. We describe an improved algorithm for kernel matrix calculation that speeds run time by about 2 to 5-fold over our original gkmSVM algorithm. This package supports several sequence kernels, including: gkmSVM, kmer-SVM, mismatch kernel and wildcard kernel. Availability and Implementation: gkmSVM package is freely available through the Comprehensive R Archive Network (CRAN), for Linux, Mac OS and Windows platforms. The C++ implementation is available at www.beerlab.org/gkmsvm
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据