Description Methods Author(s) References See Also Examples
Generic function features
and conditions
, as well as auxillary
count functions, are implemented for
Biclust
objects.
They can be used in one of the following forms:
Used on a Biclust
, and without
specifying index, features
or conditions
returns the unique and ordered
features or conditions involved in at least one bicluster, and
featureCount
or conditionCount
returns the length of
repsective vectors. To get the feature/condition numbers in each
bicluster of the set, use
BCfeatureCount
/BCconditionCount
.
Used on a Biclust
and provided
index (indices), the features/conditions or their counts are
returned for specified biclusters.
In addition, featureNames
and sampleNames
are of the same implementation as features
and
conditions
.
signature(object = "QUBICBicluster")
Information about all the biclusters.
signature(object = "Biclust", index = "missing")
Information about all the biclusters in the set.
signature(object = "Biclust", index = "ANY")
Information about selected biclusters in the set, the index can be integers or logical variables for subsetting.
Jitao David Zhang <jitao_david.zhang@roche.com>
Guojun Li, Qin Ma, Haibao Tang, Andrew H. Paternson and Ying Xu (2009) QUBIC: a qualitative biclustering algorithm for analyses of gene expression data. Nucleic Acids Research, 37:e101
See other methods implemented for the Biclust
class in the biclust
package. And the methods specific for
QUBICBiclusterSet
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | library(Biobase)
library(biclust)
example.file <- system.file("extdata", "sampleExpressionSet.blocks", package="rqubic")
example.block <- parseQubicBlocks(example.file)
head(features(example.block))
featureCount(example.block)
head(conditions(example.block))
conditionCount(example.block)
BCfeatureCount(example.block)
BCfeatures(example.block)[1:2]
BCconditionCount(example.block)
BCconditions(example.block)[1:2]
head(featureNames(example.block))
head(sampleNames(example.block))
|
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