calcPC.hcs(CAMERA)
calcPC.hcs()所属R语言包:CAMERA
Peakclustering into pseudospectra with the highly connected
Peakclustering高度连接伪谱
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Cluster peaks from an xsAnnotate object into pseudospectra
从成伪谱xsAnnotate对象的聚类峰
参数----------Arguments----------
参数:object
xsAnnotate object
xsAnnotate对象
参数:ajc
Weighted symbolic edge list as four column matrix ("x","y","cor","ps"). Columns x,y are peak indices, cor the edge value and ps the pseudospectrum index, where both peaks occur.
四列矩阵(“X”,“Y”,“心病”,“PS”)加权符号边列表。列X,Y是峰指数,肺心病的边缘值和PS的伪谱指数,其中两个峰出现。
参数:psg_list
additional vector ps pseudospectra indices, which are used in the clustering. If set to NULL all pseudospectra will be processed.
额外的矢量PS伪谱指数,这是在聚类中使用。如果设置为NULL,所有的伪谱将被处理。
Details
详情----------Details----------
In some cases, is the peak grouping after retentiontime with groupFWHM not enough to separate co-elution compounds. Therefore groupCorr use additional correlation analysis to achieve a separation. calcPC is part of this approach, which takes the calculated weighted edge list and performs the graph clustering. It returns an xsAnnotate object with further separated pseudospectra.
在某些情况下,高峰分组后retentiontimegroupFWHM不够合作洗脱化合物分开。因此groupCorr使用额外的相关分析,以达到分离。 calcPC是这种方法,计算加权边列表和执行图聚类的一部分。它返回与伪谱进一步分离xsAnnotate对象。
方法----------Methods----------
calcPC.hcs(object, ajc=NULL, psg_list=NULL)
calcPC.hcs(object, ajc=NULL, psg_list=NULL)
作者(S)----------Author(s)----------
Carsten Kuhl, <a href="mailto:ckuhl@ipb-halle.de">ckuhl@ipb-halle.de</a>
参见----------See Also----------
calcPC groupCorr highlyConnSG xsAnnotate-class
calcPCgroupCorrhighlyConnSGxsAnnotate-class
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。
|