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.
- Version1.0.5
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/03/2023
Documentation
Team
Yaoxiang Li
Amrita Cheema
Show author detailsRolesAuthorZihao Zhang
Show author detailsRolesAuthorMeth Jayatilake
Show author detailsRolesAuthor
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- Imports9 packages
- Suggests2 packages