hypergraph

hypergraph represents and manipulates hypergraphs to model multi-way relationships in high-throughput genomic and molecular biology datasets using R within the Bioconductor ecosystem.

Key Features:

• Hypergraph Representation: Represents hypergraphs where edges can connect any number of vertices to model complex multi-way biological interactions.
• Manipulation Capabilities: Provides functions to modify and analyze hypergraph structures for downstream computational analyses.
• Bioconductor Integration: Implemented in R and interoperable within the Bioconductor ecosystem as one of the 934 Bioconductor packages.

Scientific Applications:

• Genomics and Molecular Biology: Models gene regulatory networks, protein-protein interaction networks, and other multi-way interactions from high-throughput genomic and molecular data.
• Interdisciplinary Network Analysis: Enables exploration of multifaceted relationships that traditional graph models may not capture across diverse biological datasets.

Methodology:

Implemented in R with integration into Bioconductor; the package undergoes formal initial review and continuous automated testing by the Bioconductor community.