HIMA is an R package for estimating and testing high-dimensional mediation effects in omic studies.
HIMA can perform high-dimensional mediation analysis on a wide range of omic data types as
potential mediators, including epigenetics, transcriptomics, proteomics, and metabolomics using function hima and
microbiome data (function microHIMA). HIMA can also handle survival data (function survHIMA).
| Package: | HIMA |
| Type: | Package |
| Version: | 2.2.0 |
| Date: | 2023-04-27 |
| License: | GPL-3 |
Yinan Zheng y-zheng@northwestern.edu, Haixiang Zhang haixiang.zhang@tju.edu.cn, Lifang Hou l-hou@northwestern.edu Lei liu lei.liu@wustl.edu
Maintainer: Yinan Zheng y-zheng@northwestern.edu
# If package "qvalue" is not found during installation, please first install "qvalue" package # through Bioconductor: https://www.bioconductor.org/packages/release/bioc/html/qvalue.html
1. 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.
2. 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.
3. 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.