GeneDependencyModel-class(pint)
GeneDependencyModel-class()所属R语言包：pint
Class "GeneDependencyModel"
类“GeneDependencyModel”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A Genomic Dependency model for two data sets
两个数据集的一个基因组依赖模型
类的对象----------Objects from the Class----------
Used to represent individual dependency models for screening inside ChromosomeModels.
用于代表ChromosomeModels内筛选个别依赖模型。
插槽----------Slots----------
loc middle location of the window in base pairs
LOC的中间位置的窗口，在碱基对
geneName name of the gene in the middle of the window
在窗口的中间名字的基因geneName
chromosome Chromosome where the dependency model is calculated
染色体染色体依赖模型计算
arm Chromosome arm where the dependency model is calculated
依赖模型计算臂染色体臂
W a list of X, Y and total components containing the relationship between two data sets; for dependency model
名单的W，X，Y和总元件包含两个数据集之间的关系依赖模型;
phi a list of X, Y and total components containing the data set specific covariances; for dependency model
披依赖模型的X，Y和包含的数据设定具体的协方差的总元件列表;
score score for fitness of model
得分得分为模型的适用性
method name of the used method
所使用的方法的方法名
params list of parameters used in dependency model
依赖模型中使用的参数的params名单
data The data used to calculate the dependency model
数据依赖模型用于计算数据
z The latent variable Z
z的潜变量Z
延伸----------Extends----------
Class DependencyModel directly.
直接类DependencyModel。
方法----------Methods----------
setLoc<- signature(model = "GeneDependencyModel"): sets models location
setLoc < - signature(model = "GeneDependencyModel")：设置模型的位置
setGeneName<- signature(model = "GeneDependencyModel"): sets models gene name
setGeneName < - signature(model = "GeneDependencyModel")：设置模型的基因名称
setChromosome<- signature(model = "GeneDependencyModel"): sets models chromosome
setChromosome < - signature(model = "GeneDependencyModel")：设置模式染色体
setArm<- signature(model = "GeneDependencyModel"): sets models chromosome arm
setArm < - signature(model = "GeneDependencyModel")：集模型染色体臂
getLoc signature(model = "GeneDependencyModel"): Returns the middle location of the window
getLocsignature(model = "GeneDependencyModel")：返回窗口的中间位置
getGeneName signature(model = "GeneDependencyModel"): Returns the name of the gene in the middle of window
getGeneNamesignature(model = "GeneDependencyModel")：返回在窗口中的基因的名称
getChromosome signature(model = "GeneDependencyModel"): Returns the chromosome
getChromosomesignature(model = "GeneDependencyModel")：返回染色体
getArm signature(model = "GeneDependencyModel"): Returns the chromosome arm
getArmsignature(model = "GeneDependencyModel")：返回染色体臂
getWindowSize signature(model = "GeneDependencyModel"): Returns the size of window
getWindowSizesignature(model = "GeneDependencyModel")：返回窗口的大小
getZ signature(model = "GeneDependencyModel"): Calculates the expectation of latent variable Z. The original data
GETZsignature(model = "GeneDependencyModel")：计算期望的潜变量Z“的原始数据
作者（S）----------Author(s)----------
Olli-Pekka Huovilainen <a href="mailto huovila@gmail.com">ohuovila@gmail.com</a>
参见----------See Also----------
For calculation of dependency models for chromosomal arm, chromosome or genome: screen.cgh.mrna. Dependency models for whole chromosome: ChromosomeModels. Dependency models for whole genome: GenomeModels. For plotting dependency scores see dependency score plotting.
对于臂染色体，染色体或基因组的依赖模型计算：screen.cgh.mrna。依赖模型的整条染色体：ChromosomeModels。依赖模型的全基因组：GenomeModels。依赖分数的图看到依赖得分图。
举例----------Examples----------
data(chromosome17)
# First genomic dependency model from screening chromosomal arm[首先，从筛选染色体臂基因依赖模型]
models <- screen.cgh.mrna(geneExp, geneCopyNum, 10, chr=17, arm='p')
model <- models[[1]]
# Printing information of the model[印刷信息模型]
model
# Latent variable Z[潜变量Z]
getZ(model, geneExp,geneCopyNum)
# Contributions of samples and variables to model[样品和模型变量的贡献]
plot(model,geneExp,geneCopyNum)
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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。
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发表于 2012-2-26 11:08:59
