utilities(EBarrays)
utilities()所属R语言包：EBarrays
Utility functions for the EBarrays package
为EBarrays包的实用功能
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Utilitiy functions for the EBarrays package
为EBarrays包utilitiy功能
用法----------Usage----------
ebPatterns(x, ordered=FALSE)
参数----------Arguments----------
参数：x
x can be a character vector (of length > 2) (see example), or an arbitrary connection which should provide patterns, one line for each pattern. If x is a character vector of length 1, it is assumed to be the name of a file (since there's no point in a patterns object with only one pattern) which is then opened and treated as a connection.
x可以是一个字符向量（长度> 2）（见例子），或者一个任意的连接，应提供的模式，每个模式一行。如果x是一个长度为1的特征向量，它被认为是一个文件名（在一个模式，只有一个模式对象，因为没有点），然后打开并视为一个连接。
参数：ordered
logical variable specifying whether the pattern is ordered or not
逻辑变量指定的模式是否是有序的，或不
Details
详情----------Details----------
ebPatterns creates objects that represent a collection of hypotheses to be used by emfit.
ebPatterns创建的对象代表一个假设的集合，使用emfit。
值----------Value----------
ebPatterns creates an Object of class “ebarraysPatterns”, to be used in other functions such as emfit. This is nothing more than a list (and can be treated as such as far as indexing goes) and is used only for method dispatch.
ebPatterns创建一个类“ebarraysPatterns”的对象，必须在使用其他功能，如emfit。这是什么比一个列表（可以尽可能索引等处理），并只用于方法调度。
作者（S）----------Author(s)----------
Ming Yuan, Ping Wang, Deepayan Sarkar, Michael Newton, and
Christina Kendziorski
参考文献----------References----------
On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data. Journal of Computational Biology 8:37-52.
On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles. Statistics in Medicine 22:3899-3914.
Parametric Empirical Bayes Methods for Microarrays in The analysis of gene expression data: methods and software. Eds. G. Parmigiani, E.S. Garrett, R. Irizarry and S.L. Zeger, New York: Springer Verlag, 2003.
Detecting differential gene expression with a semiparametric hierarchical mixture model. Biostatistics 5: 155-176.
gene clustering and differential expression identification. Biometrics 62(4): 1089-1098.
参见----------See Also----------
emfit
emfit
举例----------Examples----------
patterns <- ebPatterns(c("1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1",
"1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2
2 2 2"), TRUE)
show(patterns)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
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发表于 2012-2-25 16:52:28
