RRHO

RRHO quantifies the overlap between two ranked or sorted lists by applying the Rank-Rank Hypergeometric Overlap (RRHO) test to assess concordance between high-throughput genomic or molecular datasets.

Key Features:

• Rank-Rank Hypergeometric Overlap (RRHO) test: Performs the RRHO test to quantitatively evaluate the degree of overlap between two ranked lists.
• Hypergeometric distribution framework: Uses a hypergeometric probability model to assess the likelihood that observed overlaps occur by chance.
• Integration with Bioconductor and R: Distributed within the Bioconductor ecosystem and implemented in the R statistical programming language.

Scientific Applications:

• Genomics and Molecular Biology: Compares ranked gene lists and other molecular data to identify significant concordance in differential expression, pathway enrichment, or network analyses.
• Interdisciplinary analyses: Applies RRHO-based overlap testing to compare ranked results across different experimental platforms and research fields within the Bioconductor ecosystem.

Methodology:

The RRHO test implemented applies a hypergeometric distribution to compute the probability that the observed overlap between two ranked lists occurs by chance.