FlexDotPlot

FlexDotPlot generates heatmap-like dot plots that represent two quantitative datasets simultaneously by encoding values in dot size and color to visualize complex biological data such as single-cell RNA-seq gene expression.

Key Features:

• Dual-quantitative encoding: Produces dot plots that encode two quantitative variables per matrix cell using dot size and color.
• Heatmap-like visualization: Renders compact, matrix-based visualizations analogous to heatmaps to summarize multifaceted datasets.
• Single-cell RNA-seq support: Applicable to single-cell RNA sequencing (RNA-seq) gene expression matrices for cell-level expression summaries.
• Universal application: Handles a wide range of dataset types beyond single-cell studies for general quantitative matrix visualization.
• Modular design: Implements a modular structure that allows customization and adaptation of visualization components.
• Tunable parameters: Provides extensive customization options through adjustable parameters to tailor plot appearance and encoding.

Scientific Applications:

• Single-cell transcriptomics: Visualizes gene expression patterns across cell populations from single-cell RNA-seq experiments.
• Genomics data summary: Summarizes quantitative matrices in genomics studies for comparative visualization of genes, samples, or clusters.
• Pattern and correlation detection: Facilitates identification of expression patterns, correlations, and anomalies across conditions or cell types.
• Cellular processes and gene regulation analysis: Supports visualization-driven exploration of cellular processes and gene regulation from multidimensional datasets.

Methodology:

Implements plotting routines in the R programming environment for statistical computing and graphics to generate dot plots encoding two quantitative variables.