mirTarRnaSeq

mirTarRnaSeq performs interactive statistical analysis of mRNA and miRNA sequencing data, enabling correlation and generalized linear modeling between mRNA and miRNA expression or differential expression results from time point or condition experiments.

Key Features:

• Interactive Correlation Analysis: Computes correlations between mRNA and miRNA expression or differential expression results.
• Regular GLM: Performs standard generalized linear modeling between mRNA and miRNA experiments.
• Multivariate GLM: Implements multivariate generalized linear modeling for mRNA and miRNA data integration.
• Interaction GLMs: Supports interaction generalized linear models to capture combined effects in mRNA-miRNA relationships.
• Experiment Flexibility: Accommodates both time point experiments and condition experiments.

Scientific Applications:

• mRNA-miRNA Regulatory Network Analysis: Identifies statistical relationships between mRNA and miRNA expression patterns in sequencing experiments.
• Differential Expression Integration: Integrates differential expression results from mRNA and miRNA sequencing to uncover regulatory interactions.
• Temporal Expression Studies: Analyzes time course sequencing data to characterize dynamic mRNA-miRNA relationships.
• Condition-Based Expression Analysis: Compares mRNA and miRNA expression across experimental conditions using statistical modeling.

Methodology:

The package performs interactive correlation and various GLMs (Regular GLM, Multivariate GLM, and Interaction GLMs) analysis between mRNA and miRNA expression or differential expression sequencing results.