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.

Documentation

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