ToppGene Suite

ToppGene Suite prioritizes and analyzes gene lists for functional enrichment, candidate gene ranking, and identification of disease-associated genes within an interactome context.

Key Features:

• Functional Enrichment: Performs gene-list enrichment analysis to detect enriched biological functions, pathways, and processes.
• Candidate Gene Prioritization (annotation-based): Prioritizes candidate genes using a fuzzy-based similarity measure on semantic annotations, combining individual feature scores by statistical meta-analysis and deriving P-values for test genes via random sampling across the genome.
• Network Analysis: Ranks genes within protein-protein interaction networks (PPINs) using extended PageRank and HITS algorithms and the K-Step Markov method.
• Identification of Novel Disease Genes: Integrates annotation-based scoring and interactome network analysis to pinpoint and rank novel disease-associated genes.

Scientific Applications:

• GWAS candidate gene evaluation: Evaluated on 20 gene-disease associations from genome-wide association studies (GWAS), ranking 19 of 20 candidate genes within the top 20%.
• Comparative performance assessment: Reported to outperform ToppNet in the cited comparison, where ToppNet ranked 12 of 16 candidates within the top 20%.

Methodology:

Uses fuzzy-based similarity measures and semantic similarity on functional annotations, statistical meta-analysis to combine individual feature scores, P-value estimation via random sampling across the genome, and network algorithms including extended PageRank, HITS, and the K-Step Markov method applied to protein-protein interaction networks (PPINs).