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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

# Install from CRAN
install.packages('SIGN')

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

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Version

Install

install.packages('SIGN')

Monthly Downloads

164

Version

0.1.0

License

GPL (>= 3)

Maintainer

Benjamin HaibeKains

Last Published

December 18th, 2018

Functions in SIGN (0.1.0)

Pathway_similarity

Pathway_similarity is a function for calculating correlation between expression level of pathways between 2 groups using all the available approaches in SIGN
BubbleSort

BubbleSort is a function for calculating bubble sort correlation between two vectors
EventRenaming

EventRenaming is a function for changing annotation of censored samples to 0 and dead samples to 1 for survival analysis
ExpPheno_Categorize

ExpPheno_Categorize is a function for grouping samples based on their survival to 3 groups of poor, good, and intermediate
GSVA_Calculation

GSVA_Calculation is a function for Calculating correlation between expression level of pathways between 2 groups using GSVA
TSC

TSC is a function to calculate transcriprtional similarity coefficient between two biological pathways
SIGN_Aggregate

SIGN_Aggregate is a function to reshape the list of pathway scoring, time to death, and event and return a summary list
SIGN_Ensemble_SimCal

SIGN_Ensemble_SimCal is a function for Generating list fo similarities based on different pathway quantification methods and similarity measures
SurvivalStat_PostProcess

SurvivalStat_PostProcess is a function to Extract summary statistics of the built cox model
GeneMatching

GeneMatching is a function to remove uncommon genes between a list of expression matrices
Genes_SimCal

Genes_SimCal is a function to calculate similarity between a set of samples and 2 reference groups of samples
ExpPhen_Matching

ExpPhen_Matching is a function for matching samples between expression matrices and metadata matrix (clinical feature matrix)
Survival_Stats

Survival_Stats is a function for building cox model using all the features and each feature as a separate model
ExpPhen_Subdividing

ExpPhen_Subdividing is a function for grouping samples based on a clinical feature available in metadata matrix (clinical feature matrix)
SimSummary_2Class

SimSummary_2Class is a function to calculating similarity between two set of samples
Similarities_Wrapper

Similarities_Wrapper is wrapper to identify similarities between the expression of genes in target sample and the reference expression matrix
Pathway_Grouping

Pathway_Grouping is a function to make a pathway list from files containing genes within each pathway