paircompviz

paircompviz visualizes results of multiple pairwise statistical tests (pairwise.t.test, pairwise.prop.test, and pairwise.wilcox.test) as Hasse diagrams to represent significant differences among groups in genomics, transcriptomics, and proteomics datasets.

Key Features:

• Hasse diagram visualization: Represents groups as nodes and encodes significant pairwise relationships as directed relations within Hasse diagrams.
• Supported statistical tests: Accepts results from pairwise.t.test, pairwise.prop.test, and pairwise.wilcox.test for downstream visualization.
• Scalability for multiple comparisons: Organizes and displays large numbers of pairwise comparisons to summarize relationships among many groups.
• Bioconductor integration: Interoperates with Bioconductor packages and data structures commonly used in genomics and molecular biology.

Scientific Applications:

• Comparative analysis in high-throughput studies: Summarizes pairwise relationships across many experimental groups in genomics, transcriptomics, and proteomics.
• Identification of significant differences: Highlights which groups differ significantly based on pairwise.t.test, pairwise.prop.test, or pairwise.wilcox.test outputs.
• Visualization of complex datasets: Transforms multiple pairwise comparison results into a concise graphical representation to aid interpretation.

Methodology:

Translates outcomes of pairwise.t.test, pairwise.prop.test, and pairwise.wilcox.test into Hasse diagrams where groups are nodes and edges indicate significant differences.