Package: SeqMADE 1.0

Mingli Lei

SeqMADE: Network Module-Based Model in the Differential Expression Analysis for RNA-Seq

A network module-based generalized linear model for differential expression analysis with the count-based sequence data from RNA-Seq.

Authors:Mingli Lei, Jia Xu, Li-Ching Huang, Lily Wang, Jing Li

# Install 'SeqMADE' in R:

install.packages('SeqMADE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 8 years agofrom:46a081046e. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 08 2024
R-4.5-linux	OK	Dec 08 2024

Dependencies:MASS

Help page	Topics
Network Module-Based Model in the Differential Expression Analysis for RNA-Seq	SeqMADE-package SeqMADE
Gene Expression Dataset	exprs
Construction of Variable Factors	Factor
Modulematrix Construction	moduleMatrix
Identify Differential Expression Modules Based on the Generalized Linear Model	nbGLM
Identify Differential Expression Modules Based on the GLM Model with Up or Down-regulated Change	nbGLMdir
Identify Differential Expression Modules Based on the GLM Method by Shuffling the Phenotypic Variables	nbGLMdirperm
NetworkModule	networkModule