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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