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DBGSA (version 1.2)

methods of distance-based gene set functional enrichment analysis.

Description

This package provides methods and examples to support a method of Gene Set Analysis (GSA). DBGSA is a novel distance-based gene set enrichment analysis method. We consider that, the distance between 2 groups with different phenotype by focusing on the gene expression should be larger, if a certain gene functional set was significantly associated with a particular phenotype.

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Version

Install

install.packages('DBGSA')

Monthly Downloads

21

Version

1.2

License

GPL-3

Maintainer

Li Jin

Last Published

January 16th, 2012

Functions in DBGSA (1.2)

functionall

P values of distance-based gene set enrichment analysis
rand

distances of gene expression obtained by gene resampling
randdis

Randomly generating some gene expression profiles by gene resampling
afExp

Gene expression profile
b1

Gene set function expression profile
centdis

Computing the distance by gravity method
avelinkdis

Computing the distance by group average method
distance

distances between case and control group
valuep

function which computes p values from different phenotypes by distance matrix
distable

function to compute the specific distances between different phenotypes
DBGSA-package

methods of distance-based gene set functional enrichment analysis