compareProfilesLists(goProfiles)
compareProfilesLists()所属R语言包：goProfiles
Compares two of expanded profiles
比较两个扩大概况
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function compares two lists (“sensu R lists”) of expanded profiles by successive calls to function compareGOProfiles following the methodology developed by Sanchez, Salicru and Ocan\~a (2007)
这个功能比较扩大型材名单（“意义上的R里面，列表”）通过连续调用函数compareGOProfiles桑切斯，Salicru和海洋和沿海区域网\~一（2007）开发的方法
用法----------Usage----------
compareProfilesLists(expanded1, expanded2, common.expanded=NULL, relationType,
method = "lcombChisq", ab.approx = "asymptotic", confidence = 0.95, ...)
参数----------Arguments----------
参数：expanded1
First expanded profile to be compared
一是扩大个人资料相比
参数：expanded2
Second expanded profile to to be compared
第二次扩大个人资料进行比较
参数：common.expanded
Expanded profile made from the genes appearing in both lists of genes
扩大个人资料从基因的两份名单中出现的基因
参数：relationType
Type of relation between gene lists compared through the expanded profiles. It can be INCLUSION, INTERSECTION or DISJOINT
基因列表之间的关系类型相比，通过扩大型材。它可以是包容，相交或不相交
参数：method
The approximation method to the sampling distribution under the null hypothesis specifying that the samples pn and qm come from the same population. See the 'Details' section below
下空假设指定的样品PN和QM相同人口抽样分布近似方法。见“详细资料”一节
参数：confidence
The confidence level of the confidence interval in the result
在结果的置信区间的置信水平
参数：ab.approx
The approximation used for computing 'a' and 'b' coefficients (see details)
逼近用于计算a和B系数（见详情）
参数：...
Other arguments for the methods 'basicProfile' or 'compareGoProfiles'
其他参数的方法basicProfile或compareGoProfiles
值----------Value----------
The result of the comparison is a list with a variable number of arguments, depending for which ontologies has been performed the comparison. Each list member is an object of class 'htest' corresponding to the output of the function compareGOProfiles
比较的结果是一个可变数目的参数列表，根据其中本体已进行比较。每个列表成员是类的htest“的对象，相应输出功能compareGOProfiles
作者（S）----------Author(s)----------
Alex Sanchez
参考文献----------References----------
Statistical methods for the analysis of high-throughput data based on functional profiles derived from the gene ontology.
参见----------See Also----------
compareGeneLists, expandedProfile
compareGeneLists，expandedProfile
举例----------Examples----------
#require(goProfiles)[要求（goProfiles）]
#data(ProstateIds)[数据（ProstateIds）]
#expandedWelsh <- expandedProfile(welsh01EntrezIDs[1:100], onto="MF",[expandedWelsh < - expandedProfile（welsh01EntrezIDs [1:100]，将“MF”]
# level=2, orgPackage="org.Hs.eg.db")[= 2级，orgPackage =“org.Hs.eg.db”的）]
#expandedSingh <- expandedProfile(singh01EntrezIDs[1:100], onto="MF",[expandedSingh < - expandedProfile（singh01EntrezIDs [1:100]，将“MF”]
# level=2, orgPackage="org.Hs.eg.db")[= 2级，orgPackage =“org.Hs.eg.db”的）]
#commonGenes <- intersect(welsh01EntrezIDs[1:100], singh01EntrezIDs[1:100])[commonGenes < - 相交（welsh01EntrezIDs [1:100]，singh01EntrezIDs [1:100]）]
#commonExpanded <- expandedProfile(commonGenes, onto="MF", level=2, orgPackage="org.Hs.eg.db")[commonExpanded < - expandedProfile（commonGenes，到“MF”，水平= 2，orgPackage =“org.Hs.eg.db”）]
#comparedMF<- compareProfilesLists (expandedWelsh, expandedSingh, commonExpanded, relationType="COMMON")[comparedMF < - compareProfilesLists（expandedWelsh，expandedSingh，commonExpanded，relationType =“普通”）]
#print(comparedMF)[打印（comparedMF）]
#print(compSummary(comparedMF))[打印（compSummary（comparedMF））]
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 20:48:12
