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gkmSVM  

Gapped-Kmer Support Vector Machine
View on CRAN: Click here


Download and install gkmSVM package within the R console
Install from CRAN:
install.packages("gkmSVM")

Install from Github:
library("remotes")
install_github("cran/gkmSVM")

Install by package version:
library("remotes")
install_version("gkmSVM", "0.83.0")



Attach the package and use:
library("gkmSVM")
Maintained by
Mike Beer
[Scholar Profile | Author Map]
First Published: 2015-06-30
Latest Update: 2023-08-20
Description:
Imports the 'gkmSVM' v2.0 functionalities into R It also uses the 'kernlab' library (separate R package by different authors) for various SVM algorithms. Users should note that the suggested packages 'rtracklayer', 'GenomicRanges', 'BSgenome', 'BiocGenerics', 'Biostrings', 'GenomeInfoDb', 'IRanges', and 'S4Vectors' are all BioConductor packages .
How to cite:
Mike Beer (2015). gkmSVM: Gapped-Kmer Support Vector Machine. R package version 0.83.0, https://cran.r-project.org/web/packages/gkmSVM. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.55 (2015-06-30 12:19), 0.65 (2015-12-08 10:28), 0.70 (2016-06-27 07:00), 0.71.0 (2016-07-19 10:38), 0.79.0 (2018-01-18 18:49), 0.80.0 (2020-02-25 02:20), 0.81.0 (2020-09-01 10:30), 0.82.0 (2023-01-09 12:30)
Other packages that cited gkmSVM R package
View gkmSVM citation profile
Other R packages that gkmSVM depends, imports, suggests or enhances
Complete documentation for gkmSVM
Functions, R codes and Examples using the gkmSVM R package
Some associated functions: genNullSeqs . gkmSVM-package . gkmsvm_classify . gkmsvm_delta . gkmsvm_kernel . gkmsvm_train . gkmsvm_trainCV . 
Some associated R codes: RcppExports.R . genNullSeqs.R . gkmsvm_classify.R . gkmsvm_delta.R . gkmsvm_kernel.R . gkmsvm_train.R . gkmsvm_trainCV.R .  Full gkmSVM package functions and examples
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