| plotDiagnosticPlots_peakGene | R Documentation |
GRN objectPlot diagnostic plots for peak-gene connections for a GRN object
plotDiagnosticPlots_peakGene(
GRN,
outputFolder = NULL,
basenameOutput = NULL,
gene.types = list(c("protein_coding", "lincRNA")),
useFiltered = FALSE,
plotDetails = FALSE,
plotPerTF = FALSE,
plotAsPDF = TRUE,
pdf_width = 12,
pdf_height = 12,
pages = NULL,
forceRerun = FALSE
)
GRN |
Object of class |
outputFolder |
Character or |
basenameOutput |
|
gene.types |
List of character vectors. Default list(c("protein_coding", "lincRNA")). Vectors of gene types to consider for the diagnostic plots. Multiple distinct combinations of gene types can be specified. For example, if set to |
useFiltered |
Logical. TRUE or FALSE. Default FALSE. If set to |
plotDetails |
|
plotPerTF |
Logical. TRUE or FALSE. Default |
plotAsPDF |
|
pdf_width |
Number. Default 12. Width of the PDF, in cm. |
pdf_height |
Number. Default 12. Height of the PDF, in cm. |
pages |
Integer vector or |
forceRerun |
|
The same GRN object, with added data from this function.
# See the Workflow vignette on the GRaNIE website for examples
# GRN = loadExampleObject()
# types = list(c("protein_coding"))
# GRN = plotDiagnosticPlots_peakGene(GRN, gene.types=types, plotAsPDF = FALSE)
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