Description Usage Arguments Details Value Author(s) See Also
View source: R/diffSpliceDGE.R
Top table ranking the most differentially spliced genes or exons.
1 | topSpliceDGE(lrt, test="Simes", number=10, FDR=1)
|
lrt |
|
test |
character string, possible values are |
number |
integer, maximum number of rows to output. |
FDR |
numeric, only show exons or genes with false discovery rate less than this cutoff. |
Ranks genes or exons by evidence for differential splicing. The exon-level tests test for differences between each exon and all the exons for the same gene. The gene-level tests test for any differences in exon usage between experimental conditions.
The Simes method processes the exon-level p-values to give an overall call of differential splicing for each gene. It returns the minimum Simes-adjusted p-values for each gene.
The gene-level tests are likely to be powerful for genes in which several exons are differentially splices. The Simes p-values is likely to be more powerful when only a minority of the exons for a gene are differentially spliced. The exon-level tests are not recommended for formal error rate control.
A data.frame with any annotation columns found in lrt
plus the following columns
NExons |
number of exons if |
Gene.Exon |
exon annotation if |
logFC |
log-fold change of one exon vs all the exons for the same gene (if |
exon.LR |
LR-statistics for exons (if |
exon.F |
F-statistics for exons (if |
gene.LR |
LR-statistics for genes (if |
gene.F |
F-statistics for genes (if |
P.Value |
p-value |
FDR |
false discovery rate |
Yunshun Chen and Gordon Smyth
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