DESeq.DiffExpress | R Documentation |
Wrapper functions for calling various Differential Expression (DE) tools.
DESeq.DiffExpress( fnames, fids, m = NULL, groupSet, targetGroup = sort(groupSet)[1],
geneColumn = "GENE_ID", intensityColumn = "READS_M", keepIntergenics = FALSE,
minimumRPKM = 1, missingGenes = "fill", extraColumn = NULL,
average.FUN = sqrtmean, wt.folds = 1, wt.pvalues = 1, wt.dists = 1)
DESeq.DiffExpress( fnames, fids, m = NULL, groupSet, targetGroup = sort(groupSet)[1],
geneColumn = "GENE_ID", intensityColumn = "READS_M", keepIntergenics = FALSE,
minimumRPKM = 1, missingGenes = "fill", extraColumn = NULL,
average.FUN = sqrtmean, wt.folds = 1, wt.pvalues = 1, wt.dists = 1)
RankProduct.DiffExpress( fnames, fids, m = NULL, groupSet, targetGroup = sort(groupSet)[1],
geneColumn = "GENE_ID", intensityColumn = "READS_M", keepIntergenics = FALSE,
offset = 0, missingGenes = "fill", extraColumn = NULL,
average.FUN = sqrtmean, wt.folds = 1, wt.pvalues = 1, wt.dists = 1)
SAM.DiffExpress( fnames, fids, m = NULL, groupSet, targetGroup = sort(groupSet)[1],
geneColumn = "GENE_ID", intensityColumn = "READS_M", keepIntergenics = FALSE,
minimumIntensity = NULL, missingGenes = "fill", extraColumn = NULL,
average.FUN = sqrtmean, wt.folds = 1, wt.pvalues = 1, wt.dists = 1,
needJitter = FALSE)
fnames |
a character vector of full pathnames to transcriptome files of gene expression |
fids |
a character vector of SampleIDs, one for each file |
m |
an optional matrix of gene expression, as an alternative to separate files for each sample.
In this case, the GeneIDs are taken from the rownames of |
groupSet |
a character vector of group identifiers, one for each file, that categories that sample |
targetGroup |
a character string specifying the one group to be compared against all other groups |
geneColumn |
the name of the column in the transcriptome files that hold the GeneIDs |
intensityColumn |
the name of the column in the transcriptome files that hold the gene expression values |
keepIntergenics |
logical, should the named non-standard intergenic regions be kept in the final results |
minimumRPKM , offset , minimumIntensity |
linear offset added to all expression values, before taking log2 of the ratios, to prevent divide by zero and false fold change magnitudes from very low expression values |
missingGenes |
how to handle missing genes when combining all files of transcriptomes.
See |
extraColumn |
a character vector of additional column names to be propegated from the transcriptome files to the resulting differential expression table |
average.FUN |
the math function for averaging gene expression values within each group |
wt.folds , wt.pvalues , wt.dists |
weighting terms for ordering the final results of differential expression. Passed to
function |
needJitter |
SAM can break if there is no variance in a group of expression values, as may happen in some discrete data like proteome peptide abundance. This logical can force the expression to have some variance |
This family of functions dispatch various differential expression tools, all of which return a
table of all genes, sorted into differential expression order such that genes most up-regulated
in group targetGroup
as compared to all other groups will be at the top, and most
down-regulated genes at the bottom.
a data frame of differential results, with a row for every gene in the transcriptomes, sorted into differential expression rank order. Column include:
comp1 |
Description of 'comp1' |
comp2 |
Description of 'comp2' |
Bob Morrison
metaRanks
a low level tool for combining result files into a consensus ranking.
metaResults
a wrapper function for combining results from all 5 DE functons into
a final consensus differential expression table.
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