mirIntegrator

mirIntegrator integrates microRNA (miRNA) and messenger RNA (mRNA) expression data across independent studies to enable combined vertical (miRNA–mRNA) and horizontal (meta-analysis) analyses for pathway identification and disease-related regulatory inference.

Key Features:

• Vertical Data Integration: Integrates miRNA and mRNA data from separate sources to enable analysis of miRNA–mRNA regulatory interactions without requiring sample-matched datasets.
• Horizontal Meta-Analysis: Performs horizontal meta-analysis by combining datasets from independent studies to increase sample size and mitigate biases from individual experiments.
• Pathway Analysis Enhancement: Combines heterogeneous data sources to increase power to identify biological pathways implicated in phenotypes, including pathways associated with pancreatic and colorectal cancer.
• General Applicability: Applies the framework to integrate other types of high-throughput assay data beyond miRNA and mRNA.

Scientific Applications:

• Cancer Research: Applied to meta-analyses of pancreatic and colorectal cancer, analyzing 1,471 samples from 15 mRNA and 14 miRNA expression datasets to identify disease-relevant pathways.
• Complex Disease Studies: Supports investigation of complex diseases by linking miRNA-mediated regulation to gene expression changes across heterogeneous datasets.

Methodology:

mirIntegrator employs a two-dimensional integration approach that combines vertical and horizontal data analysis.