generateStatsSummary | R Documentation |
GRN
object.Essentially, this functions calls filterGRNAndConnectGenes
repeatedly and stores the total number of connections and other statistics each time to summarize them afterwards. All arguments are identical to the ones in filterGRNAndConnectGenes
, see the help for this function for details.
generateStatsSummary( GRN, TF_peak.fdr = c(0.001, 0.01, 0.05, 0.1, 0.2), TF_peak.connectionTypes = "all", peak_gene.fdr = c(0.001, 0.01, 0.05, 0.1, 0.2), peak_gene.p_raw = NULL, peak_gene.r_range = c(0, 1), gene.types = c("protein_coding", "lincRNA"), allowMissingGenes = c(FALSE, TRUE), allowMissingTFs = c(FALSE), forceRerun = FALSE )
GRN |
Object of class |
TF_peak.fdr |
Numeric vector. Default |
TF_peak.connectionTypes |
Character vector. Default |
peak_gene.fdr |
Numeric vector. Default |
peak_gene.p_raw |
Numeric vector. Default |
peak_gene.r_range |
Numeric vector of length 2 (minimum -1, maximum 1). Default |
gene.types |
Character vector of supported gene types. Default |
allowMissingGenes |
Logical vector. Default |
allowMissingTFs |
Logical vector. Default |
forceRerun |
|
The same GRN
object, with added data from this function.
# See the Workflow vignette on the GRaNIE website for examples GRN = loadExampleObject() GRN = generateStatsSummary(GRN, TF_peak.fdr = c(0.01, 0.1), peak_gene.fdr = c(0.01, 0.1))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.