goodGenesMS(WGCNA)
goodGenesMS()所属R语言包：WGCNA
Filter genes with too many missing entries across multiple sets
有太多的遗漏的项目在多个集筛选基因
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function checks data for missing entries and returns a list of genes that have non-zero variance in all sets and pass two criteria on maximum number of missing values in each given set: the fraction of missing values must be below a given threshold and the total number of missing samples must be below a given threshold
此功能的数据进行检查，缺少的条目，并返回一个列表，有非零的方差在所有集合的基因，并通过在每一个给定的两个标准缺失值的最大数量的遗漏值的比例必须低于一个给定的阈值，丢失的样本的总数必须是低于一个给定的阈值
用法----------Usage----------
goodGenesMS(multiExpr,
useSamples = NULL,
useGenes = NULL,
minFraction = 1/2,
minNSamples = ..minNSamples,
minNGenes = ..minNGenes,
verbose = 1, indent = 0)
参数----------Arguments----------
参数：multiExpr
expression data in the multi-set format (see checkSets). A vector of lists, one per set. Each set must contain a component data that contains the expression data, with rows corresponding to samples and columns to genes or probes.
表达在多集的格式的数据（见checkSets）。一个向量的列表，每一个组。每个集必须包含一个组件data包含的表达数据，与对应的基因或探针的样品和列的行。
参数：useSamples
optional specifications of which samples to use for the check. Should be a logical vector; samples whose entries are FALSE will be ignored for the missing value counts. Defaults to using all samples.
可选规格的样品使用的检查。应该是一个逻辑向量;样品的条目是FALSE将被忽略遗漏值数。默认使用所有样品。
参数：useGenes
optional specifications of genes for which to perform the check. Should be a logical vector; genes whose entries are FALSE will be ignored. Defaults to using all genes.
执行检查的基因，这些基因的规格选择。应该是一个逻辑向量;基因，其项目是FALSE将被忽略。默认使用所有的基因。
参数：minFraction
minimum fraction of non-missing samples for a gene to be considered good.
非缺失的基因要考虑好样的最低分数。
参数：minNSamples
minimum number of non-missing samples for a gene to be considered good.
被视为良好的基因非缺失样本的最小数目。
参数：minNGenes
minimum number of good genes for the data set to be considered fit for analysis. If the actual number of good genes falls below this threshold, an error will be issued.
良好的数据集被认为是合适的分析基因的最小数目。如果实际的优良基因数目低于此阈值时，会发出错误。
参数：verbose
integer level of verbosity. Zero means silent, higher values make the output progressively more and more verbose.
整数的详细程度。零表示沉默，较高的值使输出越来越多，更详细。
参数：indent
indentation for diagnostic messages. Zero means no indentation, each unit adds two spaces.
缩进诊断消息。零表示无压痕，每个单元增加两个空格。
Details
详细信息----------Details----------
The constants ..minNSamples and ..minNGenes are both set to the value 4. For most data sets, the fraction of missing samples criterion will be much more stringent than the absolute number of missing samples criterion.
的常量..minNSamples和..minNGenes都设置为值4。对于大多数数据集，丢失的样本标准的分数比绝对数量，丢失的样本标准将更加严格。
值----------Value----------
A logical vector with one entry per gene that is TRUE if the gene is considered good and FALSE otherwise. Note that all genes excluded by useGenes are automatically assigned FALSE.
与每一个条目的基因，是一个逻辑矢量TRUE，如果基因被认为是好，FALSE否则。请注意，所有排除的useGenes的基因自动分配FALSE。
（作者）----------Author(s)----------
Peter Langfelder
参见----------See Also----------
goodGenes, goodSamples, goodSamplesGenes for cleaning individual sets separately;
goodGenes，goodSamples，goodSamplesGenes为单独清洁个体套;
goodSamplesMS, goodSamplesGenesMS for additional cleaning of multiple data
goodSamplesMS，goodSamplesGenesMS多个数据清洗
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。
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发表于 2012-10-1 21:13:50
