View source: R/DifferentialScoringPlot.R
DifferentialScoringPlot | R Documentation |
Currently in beta testing. Creates x3 aligned heatmaps allowing visualization of ligand, receptor, and perturbation scores for a given cell-system of interest.
DifferentialScoringPlot( differential.connectome, features = NULL, sources.include = NULL, targets.include = NULL, min.score = NULL, min.pct = NULL, verbose = T, infinity.to.max = T, aligned = F )
differential.connectome |
A differential connectome, made with DifferentialConnectome. May be filtered as desired prior to plotting. |
features |
Gene of interest. Output will be limited to edges including these specific genes. |
sources.include |
Source nodes of interest. Output will be limited to edges coming from these sources. |
targets.include |
Target nodes of interest. Output will be limited to edges landing on these targets. |
min.score |
Default NULL. Will limit output to edges with a differential score greater than this value. |
min.pct |
Default NULL. Threshold to return clusterwise observations for both ligand and receptor. Only needs to be satisfied in connect.1 OR in connect.2. |
verbose |
Whether to output feedback to user |
infinity.to.max |
Default TRUE. If TRUE, will create a pseudo value to replace values of "Inf" |
aligned |
Default FALSE. If TRUE, will create edge-aligned heatmaps (duplicate rows and columns in first two plots, to dimension map all three plots) |
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