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R语言 GeneAnswers包 simplifyGeneFunSummary()函数中文帮助文档(中英文对照)

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发表于 2012-2-25 18:42:19 | 显示全部楼层 |阅读模式
simplifyGeneFunSummary(GeneAnswers)
simplifyGeneFunSummary()所属R语言包:GeneAnswers

                                        Simplify the significant ontology terms to a miniSet annotation
                                         简化了显着的本体术语到miniSet注释

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Simplify the significant ontology terms to a mini-set, which includes the non-overlapping most significant terms and some other ontology terms, which have direct gene mapping but not included in the significant ontology terms.
简化一个小型集,其中包括非重叠的最显着的条款和一些其他的本体而言,它有直接的基因图谱,但不包括在重大本体条款的重大本体条款。


用法----------Usage----------


simplifyGeneFunSummary(geneFunSummarizeTestInfo, Onto.graph.closure, allOntoID.direct = NULL, fdr.adjust = "none", p.value.th = 10^-5)



参数----------Arguments----------

参数:geneFunSummarizeTestInfo
the output of geneFunSummarize function
geneFunSummarize函数的输出


参数:Onto.graph.closure
a graphNEL object, whose edges represent the link between a ontology term and its offspring ontology terms
1 graphNEL对象,其边缘之间的本体术语和其后代本体术语的链接


参数:allOntoID.direct
a vector of ontology IDs which has direct gene association. If not NULL, it will be used to filter the significant ontology terms
有直接关联基因本体标识向量。如果不为NULL,它将被用于过滤的重大本体条款


参数:fdr.adjust
the FDR estimation methods used to estimate the FDR of function enrichment
用于估计功能浓缩FDRFDR估计方法


参数:p.value.th
the p-value threshold used to determine the significance of function enrichment
p值阈值,用于确定富集功能的意义


值----------Value----------

The function return is a list with the same length of input "geneFunSummarizeTestInfo". Each element of the list is the simplified summarization of a gene. The simplified gene summarization is also a list with the following items
函数返回的是一个相同长度的输入“geneFunSummarizeTestInfo”的名单。列表中的每个元素是一个基因的简化概括。简化的基因总结,也是一个与下列项目列表


参数:keptSigOntoID
the significant ontology terms kept in the miniSet annotation
在保持的miniSet注释条款的重大本体


参数:keptEvidences
the non significant ontology terms which has direct gene mapping but are not the offspring of the ontology terms in keptSigOntoID  
非重大本体方面具有直接的基因图谱,但不是在keptSigOntoID本体的后代


参数:scores
the annotation scores of all ontology terms in the miniSet annotation
所有本体条款在miniSet注释注释分数

The gene summarization object also includes the attributes of "pValueT".
基因概括对象还包括的属性“pValueT”。


作者(S)----------Author(s)----------



Pan Du, Simon Lin, Gilbert Feng, Warren Kibbe




参考文献----------References----------



参见----------See Also----------

See Also plotGeneFunSummary and geneFunSummarize
plotGeneFunSummary和geneFunSummarize


举例----------Examples----------


        data(DO)
        ## test all ontology terms related with gene 643387[#测试所有本体643387与基因相关条款。]
        geneSummary <- geneFunSummarize('643387', gene2DO.map, DO.graph.closure.gene, fdr.adjust = "none")
        ## the p.values of all related ontology terms[#p.values所有相关的本体条件]
        pValue <- sapply(geneSummary[[1]]$sigOntoInfo, function(x) x$pValue)
        pValue
        ## simplify the annotation as a miniSet annotaiton[#简化作为miniSet annotaiton的注解]
        geneSummary.sim <- simplifyGeneFunSummary(geneSummary, DO.graph.closure.gene, p.value.th=10^-5)
        geneSummary.sim

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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