Gaussian Mixture Model for Multi-Omics Data Integration

A multivariate Gaussian mixture model framework to integrate multiple types of genomic data and allow modeling of inter-data-type correlations for association analysis. 'IMIX' can be implemented to test whether a disease is associated with genes in multiple genomic data types, such as DNA methylation, copy number variation, gene expression, etc. It can also study the integration of multiple pathways. 'IMIX' uses the summary statistics of association test outputs and conduct integration analysis for two or three types of genomics data. 'IMIX' features statistically-principled model selection, global FDR control and computational efficiency. Details are described in Ziqiao Wang and Peng Wei (2020) .


Reference manual

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


1.1.4 by Ziqiao Wang, 2 months ago

Report a bug at

Browse source code at

Authors: Ziqiao Wang [aut, cre] , Peng Wei [ths]

Documentation:   PDF Manual  

GPL-2 license

Imports crayon, mvtnorm, mixtools, mclust, ggplot2, stats, utils, MASS

See at CRAN