BUS

BUS computes associations among genes and between genes and external traits (e.g., clinical characteristics) to analyze gene networks and gene–trait relationships.

Key Features:

• Gene-network computation: Computes associations among genes to characterize gene-networks.
• Gene–trait association: Computes associations between genes and external traits, including clinical characteristics.
• R implementation: Implemented in R and operates within the Bioconductor project.
• Methodological framework: Provides a systematic framework for exploring gene–gene and gene–trait relationships.
• Bioconductor integration: Leverages Bioconductor's statistical packages and ecosystem for analysis.

Scientific Applications:

• Gene network analysis: Mapping and analysis of gene–gene relationships and network structure.
• Gene–trait association studies: Identifying associations between genomic features and clinical or external traits.
• Genomics and molecular biology research: Investigating molecular interactions and regulatory relationships in genomic data.
• Translational and clinical research: Informing clinical applications by linking genomic variation to clinical characteristics.

Methodology:

Computes gene–gene and gene–trait associations using statistical routines implemented in R within the Bioconductor ecosystem.