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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.
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Version
Version
1.6.4
1.2.0
1.0.3
Version
1.2.0
License
GPL-2
Maintainer
Chen Meng
Last Published
February 15th, 2017
Functions in mogsa (1.2.0)
Search all functions
getmgsa
get values in an object of class "mgsa".
distMoa
Calculate the distance matrix from an object of class
moa-class
.
moa.sup-class
Class
"moa.sup"
moaCoef
Extract the loadings/coefficients from an object of class
moa-class
.
bootMbpcaK
An internal function called by
bootMbpca
.
box.gs.feature
boxplot of gene set variables across all samples.
moaScore
Extract global scores from an object of class
moa-class
.
moGap
Gap statistic for clustering latent variables in
moa-class
.
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
deflat function used by
mbpca
moa
Multiple omics data analysis using MFA or STATIS
moa-class
Class
"moa"
msvd
SVD based algorithm to calculate block Score and global scores for
mbpca
.
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
convert
mbpca
result to
moa-class
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
preprocessing of input data in
mbpca
.
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)