sigPathway

sigPathway computes NT_k and NE_k to identify significantly enriched pathways and assess pathway-level activity in high-throughput genomic data.

Key Features:

• Statistical calculations: Computes NT_k (Number of Top genes) and NE_k (Normalized Enrichment score) to assess pathway significance.
• Bioconductor integration: Implements methods within the R statistical environment and integrates with Bioconductor packages.
• Interoperability: Designed to interoperate with other Bioconductor packages for genomic and molecular biology analyses.

Scientific Applications:

• Identifying significant pathways: Pinpoints pathways enriched for differentially expressed genes using NT_k and NE_k statistics.
• Interpretation of high-throughput data: Quantifies pathway-level signals to aid interpretation of genomic and molecular biology datasets.

Methodology:

Calculates NT_k by counting top-ranked differentially expressed genes within a pathway and computes NE_k as a Normalized Enrichment score that assesses enrichment adjusted for pathway size and gene distribution.