PROMISE-package(PROMISE)
PROMISE-package()所属R语言包:PROMISE
PRojection Onto the Most Interesting Statistical Evidence
投影到最有趣的统计证据
译者:生物统计家园网 机器人LoveR
描述----------Description----------
a tool to identify genomic geatures with a specific biologically interesting pattern of associations with multiple endpoint variables
多个端点变量与特定的生物有趣的协会模式的工具,以确定基因geatures
Details
详情----------Details----------
The PROMISE (PRojection Onto the Most Interesting Statistical Evidence) is performed by calling function PROMISE. The array data and endpoint data are passed through an ExpressionSet; the gene set definition is passed through a GeneSetCollection, and PROMISE definition is passed through a data frame. promise.genestat and avg.abs.genestat are called internally by PROMISE. Two R routines for calculating association statistics with individual endpoint variable(jung.rstat and spearman.rstat) are provided in this version. Users could provide their own R routines written in a similar fashion.
无极(投影到最有趣的统计证据)是通过调用函数一诺千金。阵列的数据和端点数据通过一个ExpressionSet;基因组的定义是通过一个GeneSetCollection,一诺千金的定义是通过一个数据框通过。 promise.genestat和avg.abs.genestat内部被称为一诺千金。在这个版本提供两个R个别端点变量(jung.rstat和spearman.rstat)的协会统计计算例程。用户可以提供自己的研发,以类似的方式编写的例程。
作者(S)----------Author(s)----------
Stan Pounds <a href="mailto:stanley.pounds@stjude.org">stanley.pounds@stjude.org</a>; Xueyuan Cao <a href="mailto:xueyuan.cao@stjude.org">xueyuan.cao@stjude.org</a>
Maintainer: Stan Pound <a href="mailto:stanley.pounds@stjude.org">stanley.pounds@stjude.org</a>; Xueyuan Cao <a href="mailto:xueyuan.cao@stjude.org">xueyuan.cao@stjude.org</a>
参考文献----------References----------
Biostatistics 24: 3077-3088.
Bioinformatics 23: 980-987.
PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables. Bioinformatics 25: 2013-2019
举例----------Examples----------
## load sampExprSet, sampGeneSet, phPatt.[#加载sampExprSet,sampGeneSet,phPatt。]
data(sampExprSet)
data(sampGeneSet)
data(phPatt)
## Perform PROMISE procedure without GSEA[#执行承诺没有GSEA程序]
test1<-PROMISE(exprSet=sampExprSet,
geneSet=NULL,
promise.pattern=phPatt,
strat.var=NULL,
seed=13,
nperms=10)
## Perform PROMISE procedure with GSEA [#执行承诺与GSEA程序]
res<-PROMISE(exprSet=sampExprSet,
geneSet=sampGeneSet,
promise.pattern=phPatt,
strat.var=NULL,
seed=13,
nperms=10)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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