calculateLOH(beadarraySNP)
calculateLOH()所属R语言包:beadarraySNP
Determine LOH in experiment
确定在实验蕙
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Using pairings of normal and tumor samples the LOH pattern is determined
使用正常和肿瘤样本配对蕙模式确定
用法----------Usage----------
calculateLOH(object, grouping, NorTum = "NorTum", ...)
calculateLair(object, grouping = NULL, NorTum = "NorTum", min.intensity = NULL,
use.homozygous.avg = FALSE)
参数----------Arguments----------
参数:object
SnpSetIllumina object
SnpSetIllumina对象
参数:grouping
Factor to show which samples belong together (are of the same individual)
因素,表明该样品属于一起(同一个人)
参数:NorTum
character vector or factor. Elements containing "N" are considered to be the normal sample
特征向量或因素。包含“N”的元素被认为是正常的样本
参数:min.intensity
numeric
数字
参数:use.homozygous.avg
logical
逻辑
参数:...
extra arguments for link{heterozygousSNPs}
额外的参数link{heterozygousSNPs}
Details
详情----------Details----------
The heterozygous SNPs of the normal sample are inspected for changes. SNPs where the genotype of the test sample are homozygous are set to TRUE
杂合子的SNPs的正常样本进行检查变化。单核苷酸多态性试验样品的基因型是纯合的设置TRUE
值----------Value----------
For calculateLOH a SnpSetIllumina object with loh and nor.gt matrices in assayData. loh is a logical matrix, and nor.gt is a character matrix containing the genotypes of the corresponding normal sample For calculateLair a SnpSetIllumina object with lair matrix in assayData. lair is the lesser allele intensity ratio. If a corresponding normal sample is found, it is taken as reference. Else the genotypes of normal samples are taken as a reference
为calculateLOH与loh和nor.gt在assayData的矩阵SnpSetIllumina对象。 loh是一个逻辑矩阵,和nor.gt是一个字符矩阵包含calculateLair相应的正常样本的基因型与:lair矩阵assayData SnpSetIllumina对象。巢穴是较小等位基因强度比。如果相应的正常样本被发现,它是作为参考。其他正常样本的基因型作为参考
作者(S)----------Author(s)----------
Jan Oosting
参见----------See Also----------
SnpSetIllumina-class
SnpSetIllumina-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。
|