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R语言 oligoClasses包 CNSet-class()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 08:05:07 | 显示全部楼层 |阅读模式
CNSet-class(oligoClasses)
CNSet-class()所属R语言包:oligoClasses

                                        Class "CNSet"
                                         类“CNSet”

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

CNSet is a container for intermediate data and parameters pertaining to allele-specific copy number estimation. Methods for CNSet objects, including accessors for linear model parameters and allele-specific copy number are included here.
CNSet是一个中间数据和有关的特定基因的拷贝数估计的参数的容器。这里包括的CNSet对象,包括线性模型参数和特定基因的拷贝数的存取方法。


类的对象----------Objects from the Class----------

An object from the class is not generally intended to be initialized by the user, but returned by the genotype function in the crlmm package.
从类对象不是一般的目的是由用户初始化但genotypecrlmm包的功能返回。

The following creates a very basic CNSet with assayData containing the required elements.
下面创建一个非常基本的CNSet用assayData包含必需的元素。

new(CNSet, alleleA=new("matrix"), alleleB=new("matrix"), call=new("matrix"),                    callProbability=new("matrix"), batch=new("factor"))
new(CNSet, alleleA=new("matrix"), alleleB=new("matrix"), call=new("matrix"),                    callProbability=new("matrix"), batch=new("factor"))


插槽----------Slots----------




batch: Object of class "factor" ~~
batch:Object类的"factor"~~




batchStatistics: Object of class "AssayData" ~~
batchStatistics:Object类的"AssayData"~~




assayData: Object of class "AssayData" ~~
assayData:Object类的"AssayData"~~




phenoData: Object of class "AnnotatedDataFrame" ~~
phenoData:Object类的"AnnotatedDataFrame"~~




featureData: Object of class "AnnotatedDataFrame" ~~
featureData:Object类的"AnnotatedDataFrame"~~




experimentData: Object of class "MIAME" ~~
experimentData:Object类的"MIAME"~~




annotation: Object of class "character" ~~
annotation:Object类的"character"~~




protocolData: Object of class "AnnotatedDataFrame" ~~
protocolData:Object类的"AnnotatedDataFrame"~~




.__classVersion__: Object of class "Versions" ~~
.__classVersion__:Object类的"Versions"~~


延伸----------Extends----------

Class "SnpSet", directly. Class "eSet", by class "SnpSet", distance 2. Class "VersionedBiobase", by class "SnpSet", distance 3. Class "Versioned", by class "SnpSet", distance 4.
类"SnpSet",直接。类"eSet",由类“SnpSet”,距离为2。类"VersionedBiobase",由类“SnpSet”,距离3。类"Versioned",由类“SnpSet”,距离4。


方法----------Methods----------




[ signature(x = "CNSet"): ...
[signature(x = "CNSet")...




A signature(object = "CNSet"): ...
一个signature(object = "CNSet"):...




A<- signature(object = "CNSet"): ...
一个< - signature(object = "CNSet")...




allele signature(object = "CNSet"): ...
的等位基因signature(object = "CNSet"):...




B signature(object = "CNSet"): ...
Bsignature(object = "CNSet")...




B<- signature(object = "CNSet"): ...
与B < - signature(object = "CNSet")...




batch signature(object = "CNSet"): ...
一批signature(object = "CNSet")...




batchNames signature(object = "CNSet"): ...
batchNamessignature(object = "CNSet")...




batchNames<- signature(object = "CNSet"): ...
batchNames < - signature(object = "CNSet")...




close signature(con = "CNSet"): ...
关闭signature(con = "CNSet"):...




coerce signature(from="CNSetLM"): ...
要挟signature(from="CNSetLM")...




coerce signature(from="CNSet"): ...
要挟signature(from="CNSet")...




corr signature(object = "CNSet", allele = "character"): ...
更正signature(object = "CNSet", allele = "character")...




flags signature(object="CNSet"): SNP flags
标志signature(object="CNSet"):SNP的标志




initialize signature(.Object = "CNSet"): ...
初始化signature(.Object = "CNSet")...




nu signature(object = "CNSet", allele = "character"): ...
NUsignature(object = "CNSet", allele = "character")...




open signature(con = "CNSet"): ...
打开signature(con = "CNSet"):...




phi signature(object = "CNSet", allele =
披的<code>签名(对象=“CNSet”,等位基因




sigma2 signature(object = "CNSet", allele = "character"): ...
sigma2signature(object = "CNSet", allele = "character")...




tau2 signature(object = "CNSet", allele = "character"): ...
tau2signature(object = "CNSet", allele = "character")...


作者(S)----------Author(s)----------



R. Scharpf




举例----------Examples----------


        if(require("genomewidesnp6Crlmm")){
                require("genomewidesnp6Crlmm")
                fns <- c("SNP_A-2131660", "SNP_A-1967418", "SNP_A-1969580", "SNP_A-4263484",
                         "SNP_A-1978185", "SNP_A-4264431", "SNP_A-1980898", "SNP_A-1983139",
                         "SNP_A-4265735", "SNP_A-1995832")
                theCalls <- matrix(2, nc=2, nrow=10)
                A <- matrix(sample(1:1000, 20), 10,2)
                B <- matrix(sample(1:1000, 20), 10,2)
                p <- matrix(runif(20), nc=2)
                theConfs <- round(-1000*log2(1-p))
                ## Batch can be defined by the scan date of the array[#批处理可以定义数组扫描日期]
                ##or the 96 well chemistry plate from which the[#或96以及化学板]
                ##samples were derived.  Here we indicate that the two[#样品而得。在这里,我们表明,两]
                ##samples were from the same batch.[#样品从同一批次。]
                batch <- rep(factor(1), ncol(A))
                ## each parameter is a R x C matrix, where the number[#每个参数是一个R X C矩阵,这里的数字]
                ## of rows (R) corresponds to the number of features[#行(R)对应的功能]
                ## and the number of columns (C) corresponds to the[#和列数(C)对应于]
                ## number of batches.  In this toy example, the[#批次数。在这个玩具的例子,在]
                ## samples were assumed to be from the same batch.[#样品被认为是从同一批次。]
                ## Ordinarily, one would have 50+ samples in a given[#通常,人们会在给定的50 +样本]
                ## batch.[#批处理。]
                dns <- list(fns, batch="1")
                obj <- new("CNSet",
                           alleleA=A,
                           alleleB=B,
                           call=theCalls,
                           callProbability=theConfs,
                           batch=as.character(rep(1, ncol(A))),
                           annotation="genomewidesnp6")
                assayDataElementNames(batchStatistics(obj))
                featureNames(obj) <- fns
                ## Accessors[#存取]
                calls(obj)
                confs(obj)
                A(obj)
                B(obj)
                featureData(obj) <- addFeatureAnnotation(obj)
                isSnp(obj)
                chromosome(obj)
                position(obj)
        }


转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
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