Description Usage Arguments Details Value Author(s) See Also Examples
These function are used for dispatching the specific algorithm for a given topONTdata
object and a test statistic.
1 2 3 4 | getSigGroups(object, test.stat, ...)
runTest(object, algorithm, statistic, ...)
whichAlgorithms()
whichTests()
|
object |
An object of class |
test.stat |
An object of class |
algorithm |
Character string specifing which algorithm to use. |
statistic |
Character string specifing which test to use. |
... |
Other parameters. In the case of |
The runTest
function can be used only with a predefined set of
test statistics and algorithms. The algorithms and the statistical
tests which are accessible via the runTest
function are shown
by the whichAlgorithms()
and whichTests()
functions.
The runTest function is a warping of the getSigGroups
and the
initialisation of a groupStats
object functions.
...
An object of class topGOresult
Adrian Alexa
topONTdata-class
,
groupStats-class
,
topGOresult-class
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | ## load a sample topONTdata object
data(ONTdata)
GOdata
##############################
## getSigGroups interface
##############################
## define a test statistic
test.stat <- new("classicCount", testStatistic = GOFisherTest, name = "Fisher test")
## perform the test
resultFis <- getSigGroups(GOdata, test.stat)
resultFis
##############################
## runTest interface
##############################
## Enrichment analysis by using the "classic" method and Fisher's exact test
resultFis <- runTest(GOdata, algorithm = "classic", statistic = "fisher")
resultFis
## weight01 is the default algorithm
weight01.fisher <- runTest(GOdata, statistic = "fisher")
weight01.fisher
## not all combinations are possible!
# weight.ks <- runTest(GOdata, algorithm = "weight", statistic = "t")
|
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