Similarity Identification in Gene Expression

Provides a classification framework to use expression patterns of pathways as features to identify similarity between biological samples. It provides a new measure for quantifying similarity between expression patterns of pathways.


Overview

SIGN fasciliotates classification and clustering of biological samples relyign on expression pattersn of biological pathways. A new measure of pathway expression pattern similarity (TSC) was introduced in the package. The package has been developed and tested for RNA-seq profiles of the cells. However, it can be used for other sequencig profiles with continuous values for each feature (gene, protein, cis-regulatory elements, etc.)

Installation

install.packages('SIGN')
 
# Installing the development version from GitHub:
# install.packages("devtools")
devtools::install_github("bhklab/SIGN")

News

Reference manual

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install.packages("SIGN")

0.1.0 by Benjamin Haibe-Kains, 8 months ago


Browse source code at https://github.com/cran/SIGN


Authors: Seyed Ali Madani Tonekaboni [aut] , Gangesh Beri [aut] , Janosch Ortmann [aut] , Benjamin Haibe-Kains [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, utils, survcomp, survival, GSVA


See at CRAN