getLocOrfs(ScISI)
getLocOrfs()所属R语言包：ScISI
A function to obtain ORFs for the ScISI
函数为ScISI获得的ORF
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes a list of bi-partite graph incidence matrices as well as a vector of GO nodes, and for each protein complex of each bi-partite graph, finds those constituent member proteins which are annotated to each GO node.
这个函数接受一个双分图的发病率矩阵列表，以及一个向量去节点，并为每双分图的每个蛋白复合物，发现那些注明每个GO节点的蛋白质的组成成员。
用法----------Usage----------
getLocOrfs(imList, goNode, pathToSave = NULL, name = NULL)
参数----------Arguments----------
参数：imList
A list of bi-partite graph incidence matrices
双分图的发病率矩阵列表
参数：goNode
A character vector of GO ID's
一个好ID的特征向量
参数：pathToSave
A character denoting where to save the resultant data
字符表示由此产生的数据保存
参数：name
The name by which the resulting R-object as well as the file will be named
由它产生的R对象，以及该文件将被命名为名称
Details
详情----------Details----------
Currently, this function will take a protein complex and find those constituent protein members which have also been annotated to the user specified GO ID. For instance, the GO ID "" is the nucleus ID. This function will find all proteins within an interactome which has been annotated with the ID "". NB - if n GO ID is supplied, the function returns n different interactomes, each is has proteins uniquely annotated with each GO ID.
目前，此功能将采取的一种蛋白质复合体，并发现这些成分的蛋白质成员也已注明用户指定好身份证。例如，GO ID“是核ID。此功能会发现内所有蛋白质相互作用组一直与ID注明“。注 - 如果N GO ID提供的函数返回n不同interactomes，每个具有独特的蛋白质与每个GO ID注明。
值----------Value----------
The return value is a list of lists of lists:
返回值是一个列表列出列表：
1. The top level list contains entries named by each GO ID 2. The second tier level contains entries after each entry of imList 3. The third tier level contains three entries: i. A bi-partite graph incidence matrix which only has protein complexes restricted to the respective GO ID annotation ii. A bi-partite graph incidence matrix which only has protein complexes listed in (i) but contains all the original proteins iii. A vector of proportions. We look at the column sums of (i) divided by the column sums fo (ii). This gives the ratio of proteins which are annotated by the GO ID over all other proteins in that complex
1。顶层列表包含每个GO编号2命名的条目。第二层级包含在每个网店加盟3项条目。第三层级包含三个项目：我。一个双分图的关联矩阵，只限于各自的好ID注释的蛋白质复合物。一个双分图的关联矩阵，其中只有（i）中所列的蛋白复合物，但包含所有原蛋白III。一个比例的向量。我们期待列款项FO（二）分列在第（i）的款项。这给人的比例超过所有其他蛋白质在这复杂的好ID注释的蛋白质
参数：restrictedOrfsComp
A bi-partite graph incidence matrix which only has protein complexes restricted to the respective GO ID annotation
一个双分图的发病率只限于各自的好ID注释的蛋白质复合物的矩阵
参数：restrictedOrfsOnly
A bi-partite graph incidence matrix which only has protein complexes listed in (i) but contains all the original proteins
一个双分图的关联矩阵，其中只有（i）中所列的蛋白复合物，但包含了所有的原始蛋白质
参数：ratio
A vector of proportions. We look at the column sums of (i) divided by the column sums fo (ii). This gives the ratio of proteins which are annotated by the GO ID over all other proteins in that complex
一个比例的向量。我们期待列款项FO（二）分列在第（i）的款项。这给人的比例超过所有其他蛋白质在这复杂的好ID注释的蛋白质
作者（S）----------Author(s)----------
TC
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 2012-2-26 13:55:26
