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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LedPred")
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This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see LedPred.
Bioconductor version: 3.2
This package aims at creating a predictive model of regulatory sequences used to score unknown sequences based on the content of DNA motifs, next-generation sequencing (NGS) peaks and signals and other numerical scores of the sequences using supervised classification. The package contains a workflow based on the support vector machine (SVM) algorithm that maps features to sequences, optimize SVM parameters and feature number and creates a model that can be stored and used to score the regulatory potential of unknown sequences.
Author: Elodie Darbo, Denis Seyres, Aitor Gonzalez
Maintainer: Aitor Gonzalez <aitor.gonzalez at univ-amu.fr>
Citation (from within R,
enter citation("LedPred")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LedPred")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("LedPred")
Follow Installation instructions to use this package in your R session.
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