isobar-preprocessing(isobar)
isobar-preprocessing()所属R语言包：isobar
IBSpectra preprocessing
IBSpectra预处理
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Preprocessing is a necessary step prior to analysis of data. In a sequential order, it is often neccassary to correct isotope impurities, to normalize, and subtract additive noise.
预处理是数据分析前的一个必要步骤。在一个顺序，它往往是neccassary的同位素杂质纠正，标准化，并减去加性噪声。
同位素杂质校正----------Isotope impurity correction----------
Returns impurity corrected IBSpectra object by solving a linear system of equations. See also isotopeImpurities.
返回杂质纠正IBSpectra对象，通过求解线性方程组的系统。也见isotopeImpurities。
标准化----------Normalization----------
Normalizes the intensities for multiplicative errors. Those changes are most likely produced by pipetting errors, and different hybridization efficencies, but can also be due to biological reasons. By default, tag intensities are multiplied by a factor so that the median intensity is equal across tags.
标准化的乘法错误的强度。这些变化是最有可能产生的错误，吸取和不同杂交听证效力，但也可能是由于生物原因。默认情况下，标记强度成倍增加的一个因素，使中位数的强度是跨标签平等的。
f: f is applied to each column, unless f.doapply is FALSE. Then f is supposed to compute column-wise statistics of the matrix of
f：f应用于每一列，除非f.doapply为FALSE。然后f应该计算矩阵列明智统计
target: One of "intensity" and "ratio".
target：“强度”和“比”之一。
Spectra of peptides which might come from these proteins are excluded. Use for example
可能来自这些蛋白质的肽谱被排除在外。例如使用
If specified, only spectra coming from this protein are used. Use when a protein
如果指定的话，只有从这种蛋白质的光谱。时使用的一种蛋白质
f.isglobal: If true, f is applied on each column. If false, f is supposed to compute column-wise statistics of the matrix
f.isglobal：如果情况属实，f每列应用。如果为false，f应该计算矩阵列明智统计
log: Used when target=ratio.
log：用于当目标=比例。
减去添加剂噪音----------Substract additive noise----------
method 'quantile' method is supported for now. It take's the prob (0.01) quantile to estimate the noise level. This value is subtracted from all intensities, and all remaining intensities have to be at least that value.
method现在支持“分量”的方法。它采取的概率（0.01）分量估计噪音水平。减去此值，从所有的强度，所有剩余的强度必须至少该值。
prob See 'method'.
prob见方法。
If channels are assumed similar in intensity and hence a shared noise level is reasonable. If not, then one level per channel is necessary.
如果渠道承担类似的强度，因此共享的噪音水平是合理的。如果没有，那么每一个通道的水平是必要的。
排除蛋白质----------Exclusion of proteins----------
Removes spectra which are assigned to proteins in protein.to.exclude from the object. This can be useful to remove contaminants. It create a new grouping based on the data which is left.
删除光谱分配对象protein.to.exclude蛋白质的。这可能是有用的，以去除污染物。它创建一个新的分组上留下的数据为基础。
proteins.to.exclude Proteins to exclude.
proteins.to.exclude蛋白质排除。
作者（S）----------Author(s)----------
Florian P. Breitwieser, Jacques Colinge
参见----------See Also----------
ProteinGroup, IBSpectra, isobar-analysis, isobar-plots
ProteinGroup，IBSpectra，分析等压线，等压线图
举例----------Examples----------
data(ibspiked_set1)
maplot(ibspiked_set1,main="IBSpiked, not normalized")
maplot(normalize(ibspiked_set1),main="IBSpiked, normalized")
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 22:36:38
