made4
made4 provides multivariate analysis and graphical visualization of microarray gene-expression data, leveraging ade4 for multivariate statistics and enhanced visualization of complex datasets.
Key Features:
- Multivariate Analysis: Performs multivariate analyses including between-group comparisons and coinertia analysis for high-dimensional microarray gene-expression data.
- Data Format Compatibility: Accepts a wide variety of gene-expression data formats.
- Integration with ade4: Leverages the R package ade4 to access multivariate statistical methods and graphical functions.
- Advanced Graphical Tools: Provides additional visualization tools alongside ade4 graphical functions to aid interpretation of multivariate results.
Scientific Applications:
- Gene Expression Profiling: Facilitates comparison of gene expression levels across different conditions or groups using multivariate approaches.
- Pattern Recognition: Identifies patterns and relationships within large microarray datasets.
- Data Interpretation: Enhances interpretation of complex gene-expression analyses through specialized visualizations.
Methodology:
Performs multivariate statistical analyses (including between-group comparisons and coinertia analysis) and uses ade4's statistical and graphical functions combined with additional visualization tools.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/16/2018
Operations
Publications
Culhane AC, Thioulouse J, Perriere G, Higgins DG. MADE4: an R package for multivariate analysis of gene expression data. Bioinformatics. 2005;21(11):2789-2790. doi:10.1093/bioinformatics/bti394. PMID:15797915.
PMID: 15797915