hyperGTest | R Documentation |
Given a subclass of HyperGParams
, compute Hypergeomtric
p-values for over or under-representation of each term in the
specified category among the specified gene set.
hyperGTest(p)
p |
An instance of a subclass of
|
The gene identifiers in the geneIds
slot of p
define the
selected set of genes. The universe of gene ids is determined by the
chip annotation found in the annotation
slot of p
. Both
the selected genes and the universe are reduced by removing
identifiers that do not have any annotations in the specified
category.
For each term in the specified category that has at least one
annotation in the selected gene set, we determine how many of its
annotations are in the universe set and how many are in the selected
set. With these counts we perform a Hypergeometric test using
phyper
. This is equivalent to using Fisher's exact test.
It is important that the correct chip annotation data package be identified as it determines the universe of gene identifiers and is often used to determine the mapping between the category term and the gene identifiers.
For S. cerevisiae if the annotation
slot of p
is set to
'"org.Sc.sgd"' then comparisons and statistics are computed using common
names and are with respect to all genes annotated in the S. cerevisiae
genome not with respect to any microarray chip. This will *not* be
the right thing to do if you are working with a yeast microarray.
A HyperGResult
instance.
In most cases, the provided method with signature matching any
subclass of HyperGParams
is all that will be needed. This
method follows a template pattern. To add support for a new FOO
category type, a developer would need to create a
FooHyperGParams
subclass and then define two methods
specialized to the new subclass that get called from inside
hyperGTest
: universeBuilder
and
categoryToEntrezBuilder
.
S. Falcon
HyperGResult-class
HyperGParams-class
GOHyperGParams-class
KEGGHyperGParams-class
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