miR2Gene

miR2Gene infers protein-coding gene patterns from their microRNA (miRNA) regulators by evaluating enrichment of predicted miRNAs within predefined miRNA sets.

Key Features:

• Enrichment Analysis: Performs miRNA set enrichment analysis by evaluating predicted miRNAs that regulate input genes across predefined miRNA sets.
• Flexible Input Options: Accepts single genes, multiple genes, or entire KEGG pathways as input for analysis.
• Integration with Prior Knowledge: Incorporates diverse miRNA sets defined by rules such as function, associated disease, tissue specificity, family, and cluster.
• KEGG Pathway Highlighting: Identifies and highlights genes within KEGG pathways that are associated with enriched miRNA sets according to the predefined rules.

Scientific Applications:

• Gene pattern discovery: Infers recurring protein-coding gene patterns based on shared miRNA regulators.
• Regulatory network inference: Supports reconstruction of miRNA–gene regulatory relationships from enrichment signals.
• Disease and tissue-specific regulation: Enables analysis of miRNA-associated regulation in disease states and tissue-specific expression contexts.
• Biomarker and pathway analysis: Aids identification of candidate biomarkers and interpretation of pathway-level regulatory mechanisms in KEGG pathways.

Methodology:

Evaluates enrichment of predicted miRNAs that regulate given genes within predefined miRNA sets (e.g., function, disease, tissue specificity, family, cluster) and highlights genes with enriched miRNA sets in KEGG pathways.