gkm-SVM 2.0 – Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features

gkm-SVM 2.0

:: DESCRIPTION

gkm-SVM is a new classifier and a general method for robust estimation of k-mer frequencies.

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::DEVELOPER

BeerLab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux
  • C++ COmpiler

:: DOWNLOAD

 gkm-SVM

:: MORE INFORMATION

Citation

PLoS Comput Biol. 2014 Jul 17;10(7):e1003711. doi: 10.1371/journal.pcbi.1003711. eCollection 2014.
Enhanced regulatory sequence prediction using gapped k-mer features.
Ghandi M, Lee D, Mohammad-Noori M, Beer MA