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

loveR

ChromosomeModels-class(pint)
ChromosomeModels-class()所属R语言包：pint

                                        Class "ChromosomeModels"
                                         类“ChromosomeModels”

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Collection of dependency models fitting two data sets in particular chromosome.
依赖模型拟合两个数据收集设置在特定的染色体。


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

Function
功能


插槽----------Slots----------




models a list of GeneDependencyModels
模型的GeneDependencyModels名单




chromosome the number of chromosome
染色体染色体数目




method a string with name of the method used in dependency models
方法依赖模型中所使用的方法的名称字符串




params a list of parameters of the used method
PARAMS的使用方法的参数列表


方法----------Methods----------




[[ signature(x = "ChromosomeModels"): Returns the  model from the list or returns the
[signature(x = "ChromosomeModels")：返回从列表模式或返回




[[<- signature(x = "ChromosomeModels"): Attaches
[< - signature(x = "ChromosomeModels")：附加




getChromosome signature(model = "ChromosomeModels"):
getChromosomesignature(model = "ChromosomeModels")：




getArm signature(model = "ChromosomeModels"):
getArmsignature(model = "ChromosomeModels")：




getLoc signature(model = "ChromosomeModels"):
getLocsignature(model = "ChromosomeModels")：




getScore signature(model = "ChromosomeModels"):
getScoresignature(model = "ChromosomeModels")：




getPArm signature(model = "ChromosomeModels"): Returns the dependency models of the p arm which is of class
getPArmsignature(model = "ChromosomeModels")：返回类是依赖模型的p臂




getQArm signature(model = "ChromosomeModels"): Returns the dependency models of the q arm which is of class
getQArmsignature(model = "ChromosomeModels")：返回类是依赖模型的q臂




getModelMethod signature(model = "ChromosomeModels"):
getModelMethodsignature(model = "ChromosomeModels")：




getParams signature(model = "ChromosomeModels"):
的getParamssignature(model = "ChromosomeModels")：




getWindowSize signature(model = "ChromosomeModels"):
getWindowSizesignature(model = "ChromosomeModels")：




topGenes signature(model = "ChromosomeModels",         num = "numeric"): Returns a vector of given number of names of the genes which have the highest dependency score. With default
topGenessignature(model = "ChromosomeModels",         num = "numeric")：返回一个特定的基因，其中有依赖的最高得分的名字数向量。使用默认




topModels signature(model = "ChromosomeModels",     num = "numeric"): Returns a list with given number of dependency
topModelssignature(model = "ChromosomeModels",     num = "numeric")：返回依赖列表




isEmpty signature(model = "ChromosomeModels"): Returns
的isEmptysignature(model = "ChromosomeModels")：返回




orderGenes signature(model = "ChromosomeModels"):
orderGenessignature(model = "ChromosomeModels")：




findModel signature(model = "ChromosomeModels"):
findModelsignature(model = "ChromosomeModels")：




as.data.frame signature(x = "ChromosomeModels"): converts dependency models as a dataframe with eachs row representing a dependency models for one gene. The columns are: geneName,dependencyScore,chr,arm,loc. If arm information
作为一个与eachs dataframe行代表一个基因依赖模型，as.data.framesignature(x = "ChromosomeModels")：转换依赖模型。栏目有：geneName，dependencyScore，chr，arm，loc。如果手臂信息

.
。


作者（S）----------Author(s)----------


Olli-Pekka Huovilainen <a href="mailtohuovila@gmail.com">ohuovila@gmail.com</a>



参见----------See Also----------

For calculation of dependency models for chromosomal arm: screen.cgh.mrna. This class holds a number of GeneDependencyModel  objects. For plotting dependency scores see dependency score plotting.  Dependency models for whole genome:
对于染色体臂依赖模型计算：screen.cgh.mrna。该类持有GeneDependencyModel对象。依赖分数的图看到依赖得分图。全基因组的依赖模型：


举例----------Examples----------


data(chromosome17)

## calculate dependency models over chromosome 17[＃依赖模型计算了17号染色体]
model17 <- screen.cgh.mrna(geneExp, geneCopyNum, windowSize = 10, chr
= 17)

model17

## Information of the dependency model which has the highest dependency score[＃信息的依赖模型依赖的最高得分]
topGenes(model17, 1)

## Finding a dependency model by its name[＃寻找它的名字依赖模型]
findModel(model17, "ENSG00000129250")

## Information of the first dependency model[＃首先依赖模型的信息]
model17[[1]]

#Plotting[绘图]
plot(model17)

# genes in p arm with the highest dependency scores[在p臂基因与依赖的最高分数]
topGenes(model17[['p']], 5)


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。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。