dominatR

dominatR quantifies and visualizes feature dominance in genomic datasets by applying physics-derived concepts to identify context-relevant features such as genes.

Key Features:

• Feature Dominance Quantification: Applies center of mass and Shannon's entropy to measure and rank feature dominance within specific biological contexts or conditions.
• Data Integration: Supports dataframes, matrices, and SummarizedExperiment objects as input formats for flexible genomic data analysis.
• Genomic Normalization: Performs common genomic normalization methods to prepare data for dominance analysis.
• Context-Relevant Visualization: Generates plots that highlight features exhibiting dominance within specific experimental conditions or contexts.

Scientific Applications:

• Gene Expression Analysis: Identifies genes that dominate within specific biological conditions or tissue contexts from genomic datasets.
• Comparative Genomics: Enables comparison of feature dominance patterns across different experimental conditions or sample groups.

Methodology:

dominatR applies center of mass and Shannon's entropy calculations to quantify feature dominance, with support for common genomic normalization methods.