Description
Omics Data Process Toolbox.
Description
Processing and analyzing omics data from genomics, transcriptomics, proteomics, and metabolomics platforms. It provides functions for preprocessing, normalization, visualization, and statistical analysis, as well as machine learning algorithms for predictive modeling. 'omicsTools' is an essential tool for researchers working with high-throughput omics data in fields such as biology, bioinformatics, and medicine.The QC-RLSC (quality control–based robust LOESS signal correction) algorithm is used for normalization. Dunn et al. (2011) <doi:10.1038/nprot.2011.335>.
README.md
omicsTools
The goal of omicsTools is to provide tools for processing and analyzing omics data from genomics, transcriptomics, proteomics, and metabolomics platforms. It provides functions for preprocessing, normalization, visualization, and statistical analysis, as well as machine learning algorithms for predictive modeling. omicsTools is an essential tool for researchers working with high-throughput omics data in fields such as biology, bioinformatics, and medicine.
License: MIT + file LICENSE
Installation
You can install the development version of omicsTools like so:
devtools::install_github("https://github.com/YaoxiangLi/omicsTools.git")
Example
This is a basic example which allows you to start using it:
library(omicsTools)
#>
#> This is omicsTools version 1.0.4.
#> omicsTools is free software and comes with ABSOLUTELY NO WARRANTY.
#> Please use at your own risk.
omicsTools::run_app()
Shiny applications not supported in static R Markdown documents
To keep README.md up-to-date. devtools::build_readme()