omicsTools: Omics Data Process Toolbox

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>.

Version: 1.0.5
Imports: bs4Dash, config (≥ 0.3.1), dplyr, DT, golem (≥ 0.3.5), magrittr, readr, shiny (≥ 1.7.2), tibble
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2023-07-03
Author: Yaoxiang Li ORCID iD [cre, aut], Zihao Zhang [aut], Meth Jayatilake [aut], Amrita Cheema ORCID iD [aut]
Maintainer: Yaoxiang Li <liyaoxiang at outlook.com>
BugReports: https://github.com/YaoxiangLi/omicsTools/issues
License: MIT + file LICENSE
URL: https://github.com/YaoxiangLi/omicsTools
NeedsCompilation: no
Materials: README NEWS
CRAN checks: omicsTools results

Documentation:

Reference manual: omicsTools.pdf

Downloads:

Package source: omicsTools_1.0.5.tar.gz
Windows binaries: r-devel: omicsTools_1.0.5.zip, r-release: omicsTools_1.0.5.zip, r-oldrel: omicsTools_1.0.5.zip
macOS binaries: r-release (arm64): omicsTools_1.0.5.tgz, r-oldrel (arm64): omicsTools_1.0.5.tgz, r-release (x86_64): omicsTools_1.0.5.tgz

Linking:

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