pipe.TranscriptCluster | R Documentation |
Combine a set of sample transcriptomes into a matrix and pass it to the hierarchical clustering tool.
pipe.TranscriptCluster(sampleIDset = NULL, annotationFile = "Annotation.txt",
optionsFile = "Options.txt", results.path = NULL, speciesID = getCurrentSpecies(),
intensityColumn = "RPKM_M", useLog = FALSE, label = "")
sampleIDset |
The set of SampleIDs to compare by clustering. |
annotationFile |
File of sample annotation details, which specifies all needed
sample-specific information about the samples under study.
See |
optionsFile |
File of processing options, which specifies all processing
parameters that are not sample specific. See |
speciesID |
The SpeciesID of the target species to calculate a transcriptome for. By default, transcriptome for all species in the current target are generated. |
results.path |
The top level folder path for writing result files to. By default, read from the Options file entry 'results.path'. |
intensityColumn |
Character string of one column name in the standard transcriptome files. |
useLog |
Logical, should the intensity values be log transformed prior to clustering. |
label |
Character string passed to the plot routine, added to the main header. |
A simple wrapper function that first builds a matrix of gene expression, by calling
expressionFileSetToMatrix
, and then passing that on the the clustering
tool expressionCluster
.
Invisibly, a list with 2 elements:
expressionMatrix |
a data frame of gene expression, with columns for GeneID, Product, and then a column of intensity values for each sample. |
cluster |
the results object passed back from the clustering tool. |
Bob Morrison
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