Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies

An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.1 by Jiaqiang Zhu, 8 months ago

Browse source code at https://github.com/cran/PQLseq

Authors: Shiquan Sun , Jiaqiang Zhu , Xiang Zhou

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, foreach, doParallel, parallel, Matrix, methods

Linking to Rcpp, RcppArmadillo

See at CRAN