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README.md
In SIGN: Similarity Identification in Gene Expression
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
``` r
Install from CRAN
install.packages('SIGN')
Installing the development version from GitHub:
install.packages("devtools")
devtools::install_github("bhklab/SIGN")
Try the SIGN package in your browser
Any scripts or data that you put into this service are public.
SIGN documentation built on May 2, 2019, 11:05 a.m.
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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
``` r
Install from CRAN
install.packages('SIGN')
Installing the development version from GitHub:
install.packages("devtools")
devtools::install_github("bhklab/SIGN")
Try the SIGN package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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