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IMIX
View on CRAN: Click
here
Download and install IMIX package within the R console
Install from CRAN:
install.packages("IMIX")
Install from Github:
library("remotes")
install_github("cran/IMIX") Install by package version:
library("remotes")
install_version("IMIX", "1.1.5") Attach the package and use:
library("IMIX")
Maintained by
Ziqiao Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-08
Latest Update: 2022-07-13
Description:
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) .
How to cite:
Ziqiao Wang (2020). IMIX: Gaussian Mixture Model for Multi-Omics Data Integration. R package version 1.1.5, https://cran.r-project.org/web/packages/IMIX. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Complete documentation for IMIX
Functions, R codes and Examples using
the IMIX R package
Some associated functions: FDR_control_adaptive . FDR_control_adaptive_imix . IMIX . IMIX_cor . IMIX_cor_restrict . IMIX_cor_twostep . IMIX_ind . data_p . model_selection . model_selection_component . plot_component .
Some associated R codes: FDR_control_adaptive.R . IMIX.R . IMIX_cor.R . IMIX_cor_restrict.R . IMIX_cor_twostep.R . IMIX_ind.R . data.R . model_selection.R . plot_component.R . Full IMIX package functions and examples
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