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Linnorm (version 1.0.2)

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.

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Version

Version

1.0.2

License

MIT + file LICENSE

Maintainer

Ken Shun Hang Yip

Last Published

February 15th, 2017

Functions in Linnorm (1.0.2)

Linnorm

Linnorm Transformation Function
RnaXSim

This function simulates a RNA-seq dataset based on a given distribution.
Linnorm.limma

Linnorm-limma pipeline for Differentially Expression Analysis