getSigGroups(topGO)
getSigGroups()所属R语言包:topGO
Interfaces for running the enrichment tests
接口运行的丰富测试
译者:生物统计家园网 机器人LoveR
描述----------Description----------
These function are used for dispatching the specific algorithm for a given topGOdata object and a test statistic.
这些功能是用于调度的具体算法为一个给定的topGOdata对象和测试统计。
用法----------Usage----------
getSigGroups(object, test.stat, ...)
runTest(object, algorithm, statistic, ...)
whichAlgorithms()
whichTests()
参数----------Arguments----------
参数:object
An object of class topGOdata This object contains all data necessary for runnig the test.
一个类的对象topGOdata这个对象包含所有数据必要的runnig测试。
参数:test.stat
An object of class groupStats. This object defines the test statistic.
对象类groupStats。此对象定义的测试统计。
参数:algorithm
Character string specifing which algorithm to use.
字符串specifing使用哪种算法。
参数:statistic
Character string specifing which test to use.
字符串specifing测试使用。
参数:...
Other parameters. In the case of runTest they are used for defining the test statistic
其他参数。在runTest它们用于定义的测试统计
Details
详情----------Details----------
The runTest function can be used only with a predefined set of test statistics and algorithms. The algorithms and the statistical tests which are accessible via the runTest function are shown by the whichAlgorithms() and whichTests() functions.
runTest函数只能用于与一组预定义的测试统计和算法。是通过runTest函数访问的算法和统计测试显示由whichAlgorithms()和whichTests()的功能。
The runTest function is a warping of the getSigGroups and the initialisation of a groupStats object functions.
在runTest的功能是的getSigGroups和groupStats对象功能的初始化变形。
...
...
值----------Value----------
An object of class topGOresult.
对象类topGOresult。
作者(S)----------Author(s)----------
Adrian Alexa
参见----------See Also----------
topGOdata-class, groupStats-class, topGOresult-class
topGOdata-class,groupStats-class,topGOresult-class
举例----------Examples----------
## load a sample topGOdata object[#加载样本topGOdata对象。]
data(GOdata)
GOdata
##############################[#############################]
## getSigGroups interface[#getSigGroups接口]
##############################[#############################]
## define a test statistic[#定义一个测试统计]
test.stat <- new("classicCount", testStatistic = GOFisherTest, name = "Fisher test")
## perform the test[#执行测试。]
resultFis <- getSigGroups(GOdata, test.stat)
resultFis
##############################[#############################]
## runTest interface[#runTest的接口]
##############################[#############################]
## Enrichment analysis by using the "classic" method and Fisher's exact test[#使用“经典”的方法和Fisher精确检验的富集分析]
resultFis <- runTest(GOdata, algorithm = "classic", statistic = "fisher")
resultFis
## weight01 is the default algorithm [#weight01是默认算法]
weight01.fisher <- runTest(GOdata, statistic = "fisher")
weight01.fisher
## not all combinations are possible![#并非所有的组合都是可能的!]
# weight.ks <- runTest(GOdata, algorithm = "weight", statistic = "t")[< - runTest的weight.ks(GOdata,算法=“重量”,统计=“T”)]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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