Learn R Programming

⚠️There's a newer version (1.6.4) of this package.Take me there.

mogsa (version 1.2.0)

Multiple omics data integration and gene set analysis

Description

This package provide a method for doing gene set analysis based on multiple omics data.

Copy Link

Version

Version

1.2.0

License

GPL-2

Maintainer

Chen Meng

Last Published

February 15th, 2017

Functions in mogsa (1.2.0)

getmgsa

get values in an object of class "mgsa".
distMoa

moa.sup-class

Class "moa.sup"
moaCoef

bootMbpcaK

box.gs.feature

boxplot of gene set variables across all samples.
moaScore

moGap

plotGS

Plot the gene set space
prepGraphite

Prepare pathway gene sets from graphite package
decompose.gs.ind

Data-wise or PC-wise decomposition of gene set scores for a single observation.
deflat

moa

Multiple omics data analysis using MFA or STATIS
moa-class

Class "moa"
msvd

NCI60_4array_supdata

supp data for Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms
prepSupMoa

Prepare sumpplementary tables for projection by sup.moa or mogsa.
prepMsigDB

Conver gmt format file to a list
combine-methods

Combine two objects of class mgsa into one.
decompose.gs.group

Data-wise or PC-wise decomposition of gene set scores for all observations.
mbpca

Extension of PCA to analyze multiple data sets
mgsa-class

Class "mgsa"
NCI60_4arrays

Microarray gene expression profiles of the NCI 60 cell lines from 4 different platforms
nipalsSoftK

NIPALS algorithm with soft thresholding operator
sup.moa

Projecting supplementary tables on object of class moa-class.
toMoa

annotate.gs

Summary annotation information of a gene set
bootMbpca

Bootstrap mbpca to estimate the coherence of different data sets
pairwise.rv

pairwise RV coefficients.
processOpt

plot-methods

~~ Methods for Function plot ~~
softK

Soft-thresholding operator
GIS

calculate gene influential scores of genes in a gene set.
matpower

compute the power of a matrix
mogsa-package

Multiple omics gene set analysis
mogsa

multiple omics data integration and gene set analysis
wsvd

Weighted singular value decomposition (SVD)