normalizeGenome(cn.mops)
normalizeGenome()所属R语言包：cn.mops
Normalize quantitative NGS data in order to make counts comparable over samples. Scales each samples' reads such that the coverage is even for
为了使计数对样品的可比性，定量农工商数据标准化。秤每个样品的读取等，覆盖面甚至
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Normalize quantitative NGS data in order to make counts comparable over samples. Scales each samples' reads such that the coverage is even for all samples after normalization.
为了使计数对样品的可比性，定量农工商数据标准化。秤每个样品的读取，这样的报道是对所有样品甚至标准化后。
用法----------Usage----------
normalizeGenome(X, normType = "poisson", qu = 0.25,
ploidy)
参数----------Arguments----------
参数：X
Matrix of positive real values, where columns are interpreted as samples and rows as genomic regions. An entry is the read count of a sample in the genomic region.
积极的实际价值，解释样本和基因组区域的行列的矩阵。一个条目是只读计数的样本中的基因组区域。
参数：normType
normType Type of the normalization technique. Each samples' read counts are scaled such that the total number of reads is equal after normlization. By this parameter one can decide to which coverage (i.e. total reads) the read counts should be normalized. Possible choices are the minimal coverage ("min"), the mean or median coverage ("mean", "median") or any quantile ("quant"). If this parameter is set to the value "mode", the read counts are scaled such that each samples' most frequent value (the "mode") is equal after normalization. If the parameter is set to "poisson" the values are scaled such that the distribution is (rowwise) close to a Poisson distribution. Possible values are "mean","min","median","quant","poisson, and "mode". Default = "poisson".
normType类型的标准化技术。每个样本的读取计数缩放，这样读取总数是normlization后的平等。通过此参数可以决定的覆盖面（即共读）读计数应标准化。可能的选择是最小覆盖（“分”），均值或中位数的覆盖（“中庸”，“中位数”）或任何位数（“定量”）。如果这个参数设置为“模式”的价值，读取计数缩放等，每个样品的最频繁的值（“模式”）是平等关系标准化之后。如果该参数设置为“泊松”缩放值，这样的分布是（rowwise）接近泊松分布。可能的值是“是什么意思”，“分”，“中位数”，“定量”，“泊松分布，和”模式“。默认=“泊松”。
参数：qu
Real value between 0 and 1. Default = 0.25.
0和1之间的真正价值。默认值= 0.25。
参数：ploidy
An integer value for each sample or each column in the read count matrix. At least two samples must have a ploidy of 2. Default = "missing".
读计数矩阵中每个样品或每列的整型值。至少有两个样本必须有一个2倍体。默认=“失踪”。
值----------Value----------
A data matrix of normalized read counts with the same dimensions as the input matrix X.
归读计数的数据矩阵与输入矩阵X的尺寸相同
作者（S）----------Author(s)----------
Guenter Klambauer <a href="mailto:klambauer@bioinf.jku.at">klambauer@bioinf.jku.at</a>
举例----------Examples----------
data(cn.mops)
X.norm <- normalizeGenome(X)
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 2012-2-25 15:34:40
