unifiedWMWqPCR

unifiedWMWqPCR implements the unified Wilcoxon-Mann-Whitney (uWMW) test for RT-qPCR differential gene expression analysis, applying the statistical approach of De Neve et al. to quantify between-group expression probabilities.

Key Features:

• Unified Wilcoxon-Mann-Whitney (uWMW) test: Implements a modified Wilcoxon-Mann-Whitney test adapted for qPCR data to assess differential expression.
• Normalization and probability quantification: Applies a normalization procedure and computes the probability that gene expression levels in one group exceed those in another.
• Graphical visualization of effect sizes: Provides plots to visualize effect sizes and the magnitude of differences between groups.

Scientific Applications:

• RT-qPCR differential expression: Testing for gene expression changes across experimental conditions or treatments using RT-qPCR data.
• Comparative analysis between treatment groups: Quantifying and comparing expression probabilities and effect sizes between experimental groups.

Methodology:

Uses a modified WMW test as described by De Neve et al., incorporates a robust normalization step for qPCR data, and computes probabilities that expression in one group exceeds another, with graphical effect-size visualization.