HIMA is an R package for estimating and testing high-dimensional mediation effects in omic studies.
HIMA is now available in R CRAN repository
## Install HIMA
install.packages("HIMA")
To install from GitHub
## Install HIMA from GitHub
library(devtools)
install_github("yinanzheng/HIMA")
If package “qvalue” is not found, please first install “qvalue” package through Bioconductor: https://www.bioconductor.org/packages/release/bioc/html/qvalue.html
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
::install("qvalue") BiocManager
Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J, Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional Mediation Effects in Epigenetic Studies. Bioinformatics. 2016;32(20):3150-4. DOI: 10.1093/bioinformatics/btw351. PubMed PMID: 27357171; PMCID: PMC5048064.
Zhang H, Zheng Y, Hou L, Liu L. Mediation Analysis for Survival Data with High-Dimensional Mediators. Bioinformatics. 2021;37(21):3815-21. DOI: 10.1093/bioinformatics/btab564. PubMed PMID: 34343267; PMCID: PMC8570823.
Zhang H, Chen J, Feng Y, Wang C, Li H, Liu L. Mediation effect selection in high-dimensional and compositional microbiome data. Stat Med. 2021;40(4):885-96. DOI: 10.1002/sim.8808. PubMed PMID: 33205470; PMCID: PMC7855955.
Yinan Zheng
Email: y-zheng@northwestern.edu