Description Details Author(s) References Examples
a tool to indentify genes that are correlated between two set of genomic variables and are associated with a predefined pattern of associations with multiple endpoint variables.
Package: | CCPROMISE |
Type: | Package |
Version: | 0.99.3 |
Date: | 2016-10-11 |
License: | GPL (>=2) |
LazyLoad: | yes |
The CCPROMISE (Canonical correlation with PROMISE analysis) is performed by calling function CCPROMISE. The two forms of genomic data such as gene expression and methylation are passed through minimal ExpressionSet; the gene annotation (defining relationship between a gene and the two forms of genomic data), phenotypic data and definition of R routines for calculating association statistics with individual endpoint variable are same as in PROMISE package. Please refer to PROMISE package for writing user defined routines.
Xueyuan Cao Xueyuan.cao@stjude.org, Stanley Pounds stanley.pounds@stjude.org
Maintainer: Xueyuan Cao xueyuan.cao@stjude.org
Cao X, Crews KR, Downing J, Lamba J and Pounds XB (2016) CC-PROMISE effectively integrates two forms of molecular data with multiple biologically related endpoint. BMC Bioinformatics 17(Suppl 13):382
Hotelling H. (1936). Relations between two sets of variables. Biometrika, 28, 321-327
Pounds S, Cheng C, Cao X, Crews KR, Plunkett W, Gandhi V, Rubnitz J, Ribeiro RC, Downing JR, and Lamba J (2009) PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables. Bioinformatics 25: 2013-2019
Wilks, S. S. (1935) On the independence of k sets of normally distributed statistical variables. Econometrica, 3 309-326.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## load data
data(exmplESet)
data(exmplMSet)
data(exmplGeneSet)
data(exmplPat)
## Perform CCPROMISE test
test<- CCPROMISE(geneSet=exmplGeneSet,
ESet=exmplESet,
MSet=exmplMSet,
promise.pattern=exmplPat,
strat.var=NULL,
prlbl=NULL,
EMlbl=c("Expr", "Methyl"),
nbperm=TRUE,
max.ntail=10,
nperms=100,
seed=13)
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