Description Usage Arguments Value Examples
A simple function that shows statistical significance (p-value
)
versus magnitude of change (log2 fold change
).
1 2 3 4 5 6 7 8 9 |
degseqDF |
object of class |
comparison |
|
filter |
Named vector with filter cutoffs of format c(Fold=2, FDR=1) where Fold refers to the fold change cutoff (unlogged) and FDR to the p-value cutoff. |
genes |
|
plotly |
logical: when |
savePlot |
logical: when |
filePlot |
file name where the plot will be saved. For more information, please consult the
|
returns an object of ggplot
or plotly
class.
1 2 3 4 5 6 7 8 9 10 11 12 | ## Load targets file and count reads dataframe
targetspath <- system.file("extdata", "targets.txt", package="systemPipeR")
targets <- read.delim(targetspath, comment = "#")
cmp <- systemPipeR::readComp(file=targetspath, format="matrix", delim="-")
countMatrixPath <- system.file("extdata", "countDFeByg.xls", package="systemPipeR")
countMatrix <- read.delim(countMatrixPath, row.names=1)
### DEG analysis with `systemPipeR`
degseqDF <- systemPipeR::run_DESeq2(countDF = countMatrix, targets = targets, cmp = cmp[[1]], independent = FALSE)
DEG_list <- systemPipeR::filterDEGs(degDF = degseqDF, filter = c(Fold = 2, FDR = 10))
## Plot
volcanoplot(degseqDF, comparison = "M12-A12", filter = c(Fold = 2, FDR = 10))
volcanoplot(degseqDF, comparison = "M12-A12", filter = c(Fold = 1, FDR = 20), genes = "ATCG00280")
|
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