clustMMRA

clustMMRA identifies genomically co-clustered microRNAs that may act as master regulators of molecular cancer subtypes.

Key Features:

• Scalability: Processes large-scale microRNA datasets, accommodating up to a hundred samples or more.
• Identification of Genomic Clusters: Detects clusters of co-expressed microRNAs to capture their collective regulatory effects on cell phenotypes.
• Application to Pediatric Tumors: Applied to multiple pediatric tumor datasets to identify microRNA clusters associated with cancer subtypes.
• Validation of Known Clusters: Recapitulates involvement of known clusters such as the 14q32 locus and reports downregulation patterns in tumor subgroups with aggressive phenotypes.

Scientific Applications:

• Cancer Subtyping: Supports molecular classification of cancers by identifying microRNA cluster signatures.
• Gene Regulation Studies: Enables analysis of joint regulatory effects of microRNA groups on gene expression and cellular behavior.
• Pediatric Oncology Research: Facilitates discovery of subtype-associated microRNA signatures in pediatric cancers.

Methodology:

Integrates large-scale microRNA profiling data to search for co-clustered genomic regions and identifies clusters that may act as master regulators by focusing on the collective regulatory potential of microRNA groups.