Heatmap_kdeg {bakR} | R Documentation |
Heatmap_kdeg
creates a matrix where each column represents a pair of samples (reference and experimental) and each
row represents a feature. The entry in the ith row and jth column is the L2FC(kdeg) for feature i when comparing sample with
experimental ID j+1 to the reference sample
Heatmap_kdeg(obj, zscore = FALSE, filter_sig = FALSE, FDR = 0.05)
obj |
Object outputted by |
zscore |
Logical; if TRUE, then each matrix entry is log-odds fold change in the fraction new (a.k.a the effect size) divided by the uncertainty in the effect size |
filter_sig |
Logical; if TRUE, then only features which have a statistically significant L2FC(kdeg) in at least one comparison are kept |
FDR |
Numeric; False discovery to control at if filter_sig is TRUE. |
A matrix. Rows represent transcripts which were differentially expressed and columns represent (from left to right) differential kinetics z-score, differential expression z-score, and a mechanism score where positive represents synthesis driven and negative degradation driven changes in expression.
# Simulate data
sim <- Simulate_bakRData(1000)
# Fit data with fast implementation
Fit <- bakRFit(sim$bakRData)
# L2FC(kdeg) heatmap matrix
L2FC_kdeg_heat <- Heatmap_kdeg(Fit$Fast_Fit)