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2016 ; 32
(14
): 2205-7
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gkmSVM: an R package for gapped-kmer SVM
#MMPMID27153639
Ghandi M
; Mohammad-Noori M
; Ghareghani N
; Lee D
; Garraway L
; Beer MA
Bioinformatics
2016[Jul]; 32
(14
): 2205-7
PMID27153639
show ga
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 CONTACT: mghandi@gmail.com or mbeer@jhu.edu
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics
online.