AFCMHeatMap

AFCMHeatMap generates heatmaps to visualize quantitative gene expression data from microarrays and RNA-Seq for exploratory and comparative genomic analysis.

Key Features:

• Integration with Genomic Data: Visualizes quantitative expression values derived from microarrays and RNA-Seq across samples and conditions.
• Input Format: Accepts input files in the *.CSV format for expression matrices and associated sample annotations.
• Implementation: Implemented in R and uses the Shiny framework.
• Heatmap Generation: Converts expression matrices into color-coded two-dimensional heatmaps where individual expression values are represented as colors.
• Exportable Outputs: Supports downloading generated heatmaps as supplementary material for publications.

Scientific Applications:

• Data Exploration: Enables identification of patterns, trends, and anomalies within large gene expression datasets.
• Comparative Analysis: Facilitates visualization of multiple datasets or conditions for comparative studies across experimental groups.
• Publication Support: Produces downloadable heatmaps suitable as visual aids in scientific publications.

Methodology:

Converts genetic expression data into a two-dimensional color-coded matrix (heatmap) where individual expression values map to colors.