OBOHyperGParams-class | R Documentation |
A parameter class for representing all parameters needed for running
the hyperGTest
method with an ontology adhered to the OBO
Foundry (see http://www.obofoundry.org) as the category.
Objects can be created by calls of the form OBOHyperGParams(...)
,
where ...
correspond to slots defined below.
conditional
:A logical indicating whether the calculation should condition on the ontology structure.
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
selected gene set.
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
be used.
annotation
:A string giving the name of the annotation data package for the chip used to generate the data.
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
category ids.
categoryName
:A string describing the category. Usually set automatically by subclasses. For example "GO".
datPkg
:Holds a DatPkg object which is of a particular type that in turn varies with the kind of annotation package this is.
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 term.
orCutoff
:A numeric value used as an odds-ratio
cutoff for odds ratios generated by the conditional
Hypergeometric test. For such a test, it works like the
pvalueCutoff
but applied on the odds ratio. It has no
effect when conditional=FALSE
.
minSizeCutoff
:A numeric value used as a cutoff for
minimum size of the gene sets being tested with the conditional
Hypergeometric test. For such a test, it works like the
pvalueCutoff
but applied on the odds ratio. It has no
effect when conditional=FALSE
.
maxSizeCutoff
:A numeric value used as a cutoff for
maximum size of the gene sets being tested with the conditional
Hypergeometric test. For such a test, it works like the
pvalueCutoff
but applied on the odds ratio. It has no
effect when conditional=FALSE
.
testDirection
:A string which can be either "over" or "under". This determines whether the test performed detects over or under represented GO terms.
Class "HyperGParams"
, directly.
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
HyperGParams
.
conditional(p)
, conditional(p) <-
value
Accessors for the conditional flag. When setting,
value
must be TRUE
or FALSE
.
R. Castelo
HyperGResult-class
hyperGTest
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