omicade4
omicade4 is a comprehensive R/Bioconductor package designed to address the challenges of integrating and analyzing multi-omics data by applying multiple co-inertia analysis (MCIA). MCIA is an exploratory data analysis method that uncovers co-relationships between multiple high-dimensional datasets by projecting them into a shared dimensional space. This approach harmonizes diverse sets of features and enhances biological interpretation and pathway analysis by extracting the most variant information from each dataset.
Topic
Omics;Microarray experiment;Cell biology;Medicine;Gene expression;Bioinformatics
Detail
Operation: Treemap visualisation;Clustering;Dendrogram visualisation
Software interface: Command-line user interface,Library
Language: -
License: GNU General Public License, version 2
Cost: Free
Version name: 1.42.0
Credit: The Dana-Farber Cancer Institute Women’s Cancers Program, the Claudia Adams Barr foundation and the National Cancer Institute at the National Institutes of Health, the National Cancer Institute and the National Human Genome Research Institute, the National Human Genome Research Institute (NHGRI).
Input: Gene expression data [cel] [affymetrix] [dat]
Output: Image [Image format], Plot [Image format]
Contact: Chen Meng mengchen18@gmail.com
Collection: -
Maturity: Stable
Publications
- A multivariate approach to the integration of multi-omics datasets.
- Meng C, et al. A multivariate approach to the integration of multi-omics datasets. A multivariate approach to the integration of multi-omics datasets. 2014; 15:162. doi: 10.1186/1471-2105-15-162
- https://doi.org/10.1186/1471-2105-15-162
- PMID: 24884486
- PMC: PMC4053266
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/omicade4_1.42.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/omicade4/man/omicade4.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/omicade4.html
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