msc.peaks.clust(Metabonomic)
msc.peaks.clust()所属R语言包：Metabonomic
Clusters Peaks of Mass Spectra
聚类质谱峰
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Clusters peaks from multiple protein mass spectra (SELDI) samples. Transcription of msc.peaks.clust function of caMassClass
聚类由多种蛋白质质谱（SELDI）样品的峰。 msc.peaks.clust的caMassClass功能的转录
用法----------Usage----------
msc.peaks.clust(dM, S, BinSize = c(0, sum(dM)), tol = 0.97, verbose = FALSE)
参数----------Arguments----------
参数：dM
Distance between sorted peak positions (masses, m/z).
排序峰的位置（群众之间的距离，M / Z）。
参数：S
Peak sample number, used to identify the spectrum the peak come from.
山顶的样本数，用于识别光谱的峰值来自。
参数：BinSize
Upper and lower bound of bin-sizes, based on expected experimental variation in the mass (m/z) values. Size of any bin is measured as (R-L)/mean(R,L) where L and R are masses (m/z values) of left and right boundaries. All resulting bin sizes will be between BinSize[1] and BinSize[2]. Default is c(0,sum(dM)) which ensures that no BinSizes is not being used.
上限和下限的bin的大小，根据预期实验的质量（M / Z）值的变化。任何纸槽的大小被测量为（RL）/平均值（R，L），其中L和R的质量（m / z值）的左和右边界。所有由此产生的垃圾桶尺寸将介于BinSize [1] BinSize [2]。默认值是c（0，总和（DM）），确保没有BinSizes不被使用。
参数：tol
gaps bigger than tol*max(gap) are assumed to be the same size as the largest gap. See details.
间隙大于托尔*最大（间隙）被假定为相同的大小的最大间隙。查看详细信息。
参数：verbose
boolean flag turns debugging printouts on.
布尔标志，将调试打印件。
Details
详细信息----------Details----------
This is a low level function used by msc.peaks.alignment and not intended to be directly used by many users. However it might be useful for other code developers. It clusters peaks from different samples into bins in such a way as to satisfy constraints in following order:
这是一个低的水平，使用通过msc.peaks.alignment和不适合在直接由许多用户使用的功能。然而，它可能是其他代码的开发人员非常有用。聚类来自不同样品的峰值成箱在这样一种方式，以满足约束，按照下列顺序：
* bin sizes are in between BinSize[1] and BinSize[2] * no two peaks from the same sample are present in the same bin * bins are split in such a way as to minimize bin size and maximize spaces between bins * if there are multiple, equally good, ways to split a bin than bin is split in such a way as to minimize number of repeats on each smaller sub-bin
*纸槽的大小是在之间BinSize [1]和BinSize [2] *没有两个峰从相同的样品中存在的同一bin *箱，以这样的方式被分割的，以尽量减少bin大小，并最大限度地提高之间的空格箱*如果有是多重的，同样优良的，分裂一个bin比纸槽的方式以这样的方式被分割，以尽量减少对每个更小的子槽的重复数
值----------Value----------
The output is binary array of the same size as dM and S where left boundaries of each clusters-bin (biomarker) are marked
输出是dM和S其中，每个簇-bin的（生物标记物）的左侧边界被标记相同的尺寸的二进制数组
（作者）----------Author(s)----------
Jarek Tuszynski (SAIC) jaroslaw.w.tuszynski@saic.com
参考文献----------References----------
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 2012-9-23 09:19:24
