featureCTD(BioSeqClass)
featureCTD()所属R语言包：BioSeqClass
Feature Coding by composition, transition and distribution
功能编码所组成，过渡和分配
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Sequences are coded based on their composition, transition and distribution.
序列编码的基础上组成，过渡和分布。
用法----------Usage----------
featureCTD(seq,class=elements("aminoacid"))
参数----------Arguments----------
参数：seq
a string vector for the protein, DNA, or RNA sequences.
为蛋白质，DNA或RNA序列的字符串向量。
参数：class
a list for the class of biological properties. It can be produced by elements and aaClass.
一个生物属性的类列表。它可以产生elements和aaClass。
Details
详情----------Details----------
featureCTD returns a matrix with M+M*(M-1)/2+M*5 columns. Each row represented features of one sequence coding by a M+M*(M-1)/2+M*5 dimension numeric vector. Three kinds of coding: composition (C), transition (T) and distribution (D) are used. C is the number of amino acids of a particular property (such as hydrophobicity) divided by the total number of amino acids. T characterizes the percent frequency with which amino acids of a particular property is followed by amino acids of a different property. D measures the chain length within which the first, 25, 50, 75 and 100 acids of a particular property is located respectively.
featureCTD返回一个与M + M *（M - 1）/ 2 +男* 5列的矩阵。每一行代表一个序列的M + M *（M - 1）/ 2 +男* 5维数值向量编码的功能。三种编码组成（三），过渡（T）和分配（四）使用。 C是氨基酸总数的特定属性（如疏水性）除以氨基酸的数目。 ţ特点的频率与特定属性的氨基酸是由不同的属性氨基酸％。 ð措施内分别位于第一，25，50，75和100特定属性的氨基酸链的长度。
作者（S）----------Author(s)----------
Hong Li
举例----------Examples----------
if(interactive()){
file = file.path(.path.package("BioSeqClass"), "example", "acetylation_K.fasta")
library(Biostrings)
tmp = readFASTA(file)
proteinSeq = sapply(tmp,function(x){x[["seq"]]})
names(proteinSeq) = sapply(tmp,function(x){x[["desc"]]})
CTD1 = featureCTD(proteinSeq, class=elements("aminoacid") )
CTD2 = featureCTD(proteinSeq, class=aaClass("aaV") )
}
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 13:41:33
