MantelCorr

MantelCorr computes Mantel cluster correlations between clusters derived from (p × n) numeric data matrices to assess relationships in datasets such as microarray gene-expression matrices within the Bioconductor ecosystem.

Key Features:

• Data Compatibility: Processes (p × n) numeric data matrices, including microarray gene-expression data.
• Interoperability: Integrates with other packages in the Bioconductor project.
• Cluster Analysis: Identifies and defines clusters within numeric data matrices.
• Correlation Computation: Applies Mantel's method to compute correlation coefficients between clusters.
• Community-Driven Development: Developed and maintained within the Bioconductor community.

Scientific Applications:

• Gene Expression Analysis: Explores relationships and co-expression patterns in gene-expression datasets.
• Genomic Data Integration: Assesses correlations between clusters derived from different genomic datasets.
• Comparative Genomics: Analyzes similarities and differences across species or conditions via cluster correlations.
• Functional Genomics: Investigates gene function through expression patterns and clustering correlations.

Methodology:

Performs cluster analysis to identify clusters within the numeric data matrix and applies Mantel's method to calculate correlation coefficients between those clusters.