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10.1093/bioinformatics/btw203 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw203 C4937197!4937197!27153639     free     free     free       Bioinformatics 2016 ; 32 (14): 2205-7 Nephropedia Template TP {{tp|p=27153639|t=2016. gkmSVM: an R package for gapped-kmer SVM |pdf=|usr=}}{{27153639}} gab.com Text gkmSVM: an R package for gapped-kmer SVM JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153639 #FOAvip Summary: 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/gkmsvmContact:mghandi@gmail.com or mbeer@jhu.eduSupplementary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip gkmSVM: an R package for gapped-kmer SVM ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153639 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27153639 #FOAvip English Wikipedia <ref>{{Cite pmid|27153639}}</ref> 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 PMID27153639show ga Summary: 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/gkmsvmContact:mghandi@gmail.com or mbeer@jhu.eduSupplementary information:Supplementary data are available at Bioinformatics online. ägkmSVM: an R package for gapped-kmer SVM (epmc).pdf DeepDyve Pubget Overpricing