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Generating heatmaps of genetic datasets is a 2D graphical visualization of data where the individual expression values contained in a matrix are represented as colors. Herein, we describe AFCMHeatMap a shiny web App that integrates quantitative interaction of genomics data and results from microarrays or RNA-Seq to highlight expression levels of various genetic datasets with a *.CSV input file. The application also facilitates downloading heatmaps as a supplementary material for user's publications. Written in R using Shiny framework, it is a user-friendly framework for interactive expression data visualization that can be easily deployed without any restrictions to any operating system used by any online user.
The updated version of the preprint have addressed citation issues regarding open-source code provided with AFCMHeatMap, It also addressed previous literature content to be properly cited and paraphrased in the preprint. The source code repository on github have been documented with changes regarding used functions of R packages that have been inspired by MicroScope shiny App for proper citation and documentation of modified codes and functions of required R packages.