pairwise.filter(simpleaffy)
pairwise.filter()所属R语言包：simpleaffy
Filter pairwise comparison statistics between two experimental groups
两个实验组之间两两比较筛选统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Given the results of a pairwise.comparison, filter the resulting gene list on expression level, PMA calls (if available), fold change and t-test statistic.
鉴于一个pairwise.comparison结果，导致基因表达水平，PMA的调用（如果可用），倍数变化和t-检验统计列表过滤。
min.exp and min.exp.no allow the data to be filtered on intensity (where min.exp.no specifies the minimum number of arrays that must be above the threshold 'min.exp' to be allowed through the filter).
min.exp和min.exp.no允许对数据进行过滤的强度（，其中min.exp.no指定阵列的最低人数，必须是上述“阈值”min.exp被允许通过过滤器）。
PMA filtering is done when min.present.number is greater than 0.
PMA的过滤当min.present.number大于0。
min.present.no allows arrays to be filtered by PMA call. A number or 'all' must be specified. If a number, then the at least this many arrays must be called present, if 'all', then all arrays must be called present.
min.present.no允许阵列由PMA呼叫过滤。一个数字或所有必须指定。如果一个数字，然后很多阵列至少必须调用目前，如果“所有”，然后所有的数组必须被称为目前。
present.by.group specifies whether PMA filtering is to be done on a per-group basis or for all arrays at once. If 'false' then the experiment is treated as a single group (i.e. a probeset passes the filter if it is called present on at least min.present.number arrays in the whole experiment. If 'true' then it must be called present on at least this many arrays in one or more groups. See the vignette for more details.
present.by.group指定PMA的过滤是否要对每个组的基础上，或做一次所有阵列。如果“假”，那么被视为一个单一的组（即probeset通过过滤器，如果它被称为目前在整个实验中至少min.present.number阵列。如果真，那么它必须被称为目前实验至少在一个或多个组。许多阵列的详细信息，请参阅的小插曲。
用法----------Usage----------
pairwise.filter(object,min.exp=log2(100),min.exp.no=0,min.present.no=0,present.by.group=T,fc=1.0,tt=0.001)
参数----------Arguments----------
参数：object
a 'PairComp' object
“PairComp对象
参数：min.exp
Filter genes using a minimum expression cut off
切断过滤器使用最小表达的基因
参数：min.exp.no
A gene must have an expression intensity greater than 'min.exp' in at least this number of chips
基因的芯片数量至少必须有表达强度更大比min.exp“
参数：min.present.no
A gene must be called present on at least this number of chips
目前的芯片数量至少必须调用一个基因
参数：present.by.group
If true, then the probeset must be called Present on at least min.present.number arrays in any of the replicate sets used to generate the PairComp object being filtered. If false, then must be called present on at least min.present.no of the arrays in the whole experiment
如果情况属实，那么被称为probeset必须至少在任何复制至生成的PairComp对象被过滤设置min.present.number阵列上。如果为false，则必须要求至少min.present.no阵列目前在整个实验
参数：fc
A gene must show a log2 fold change greater than this to be called significant
基因必须表现出1倍的log2变化比这更大的被称为显着
参数：tt
A gene must be changing with a p-score less than this to be called significant
基因必须比P-得分少，被称为显着变化
值----------Value----------
A 'PairComp' object filtered to contain only the genes that pass the specified filter parameters.
A“PairComp对象过滤，只包含的基因，通过指定的过滤器参数。
作者（S）----------Author(s)----------
Crispin J Miller
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。
|
发表于 2012-2-26 14:21:14
