GOHyperGParams-class(Category)
GOHyperGParams-class()所属R语言包：Category
Class "GOHyperGParams"
类“GOHyperGParams”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A parameter class for representing all parameters needed for running the hyperGTest method with one of the GO ontologies (BP, CC, MF) as the category.
一个代表运行的GO本体类别（BP，CC，中频）hyperGTest方法所需的所有参数的参数类。
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("GOHyperGParams", ...).
创建对象可以通过检测的形式new("GOHyperGParams", ...)。
插槽----------Slots----------
ontology: A string specifying the GO ontology to use.
ontology：一个字符串，指定使用的GO本体。
conditional: A logical indicating whether the
conditional：逻辑表示是否
geneIds: Object of class "ANY": A vector of gene identifiers. Numeric and character vectors are probably the only things that make sense. These are the gene ids for the
geneIds：Object类的"ANY"：一个基因标识的向量。数字和字符向量可能是唯一有意义的事情。这些都为基因IDS
universeGeneIds: Object of class "ANY": A vector of gene ids in the same format as geneIds defining a subset of the gene ids on the chip that will be used as the universe for the hypergeometric calculation. If this is NULL or has length zero, then all gene ids on the chip will
universeGeneIds：对象类"ANY"：在相同的格式为geneIds基因标识的一个子集上定义的芯片将用于宇宙超几何向量的基因IDS计算。如果这是NULL或长度为零，然后在芯片上的所有基因IDS会
annotation: A string giving the name of the
annotation：一个字符串，给出的名称
categorySubsetIds: Object of class "ANY": If the test method supports it, can be used to specify a subset of category ids to include in the test instead of all possible
categorySubsetIds：Object类的"ANY"：如果测试方法支持它，可以用来指定类别ID的一个子集，包括在测试，而不是所有可能的
categoryName: A string describing the category.
categoryName：一个描述类的字符串。
datPkg: Holds a DatPkg object which is of a particular type that in turn varies with the kind of annotation
datPkg：举行DatPkg的对象是特定类型的，又与不同的注释
pvalueCutoff: A numeric values between zero and one used as a p-value cutoff for p-values generated by the Hypergeometric test. When the test being performed is non-conditional, this is only used as a default value for printing and summarizing the results. For a conditional analysis, the cutoff is used during the computation to determine perform the conditioning: child terms with a p-value less than pvalueCutoff are conditioned out of the test for their parent
pvalueCutoff：一个数值之间的零和一个用来作为超几何测试所产生的P-值p值截止。测试时，正在执行的非条件，这仅用于印刷和总结的结果作为默认值。对于有条件的分析，截止期间使用的计算，以确定执行空调：孩子比pvalueCutoff p值条件的测试，为他们的父母
testDirection: A string which can be either "over" or "under". This determines whether the test performed detects
testDirection：一个字符串，它可以是要么“过度”或“下的”。这将决定是否进行试验检测
延伸----------Extends----------
Class "HyperGParams", directly.
类"HyperGParams"，直接。
方法----------Methods----------
hyperGTest(p) Perform hypergeometric tests to assess overrepresentation of category ids in the gene set. See the documentation for the generic function for details. This method must be called with a proper subclass of
hyperGTest(p)执行超几何测试，以评估基因组中的类别ID的比例过高。看到文件的详细信息，泛型函数。此方法必须有一个适当的子类被称为
ontology(p), ontology(p) <- value Accessors for the GO ontology. When setting, value should be one
ontology(p)，ontology(p) <- value的GO本体的存取。当设置，value应该是一个
value</dt> Accessors for the conditional flag. When setting,
值</代码> </ DT>存取条件国旗。在设置时，
isConditional(p) An alias for conditional.
isConditional(p)conditional别名。
作者（S）----------Author(s)----------
S. Falcon
参见----------See Also----------
HyperGResult-class GOHyperGParams-class geneKeggHyperGeoTest hyperGTest
HyperGResult-classGOHyperGParams-classgeneKeggHyperGeoTesthyperGTest
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 2012-2-25 14:08:53
