Linear model and normality based transformation method (Linnorm)
Description
Linnorm is an R package for the analysis of RNA-seq,
scRNA-seq, ChIP-seq count data or any large scale count data. Its
main function is to normalize and transform these datasets for
parametric tests. Examples of parametric tests include using limma
for differential expression analysis or differential peak detection,
or calculating Pearson correlation coefficient for gene correlation
study. Linnorm can work with raw count, CPM, RPKM, FPKM and TPM.
Additionally, Linnorm provides the RnaXSim function for the
simulation of RNA-seq raw counts for the evaluation of differential
expression analysis methods. RnaXSim can simulate RNA-seq dataset
in Gamma, Log Normal, Negative Binomial or Poisson distributions.