fpc_performance_plot: make synthetic data False Positive count plot function

In unistbig/compareDEtools: Comparison of multiple DE analysis methods in R

Description

make synthetic data False Positive count plot function

Usage

fpc_performance_plot(working.dir, figure.dir, simul.data, rep, nsample,
  disp.Type, modes, AnalysisMethods)

Arguments

working.dir	Input file location
figure.dir	Figure save location
simul.data	Type of dataset (e.g. KIRC, Bottomly, mBdK and mKdB)
rep	Number of replication each test contain.
nsample	Number of samples. Input as a numeric vector.
disp.Type	How is the dispersion assumed for each condition. Possible values are 'same' and 'different'.
modes	Test conditions we used for simulation data generation. Input as a character vector. "D" for basic simulation (not adding outliers). "R" for adding 5 "OS"for adding outlier sample to each sample group.
AnalysisMethods	DEmethods used for figures. Input as character vectors (e.g. 'edgeR','edgeR.ql','edgeR.rb','DESeq.pd','DESeq2','voom.tmm','voom.qn','voom.sw','ROTS','BaySeq','PoissonSeq','SAMseq')

unistbig/compareDEtools documentation built on May 1, 2020, 9:41 p.m.