rnaEditr

rnaEditr analyzes site-specific RNA editing events and hyper-editing regions, enabling statistical testing of editing frequencies against binary, continuous, or survival outcomes with covariate and interaction effects.

Key Features:

• Site-specific RNA editing analysis: Analyzes individual RNA editing sites for statistical associations with various outcome types.
• Hyper-editing region analysis: Analyzes hyper-editing regions for statistical associations with various outcome types.
• Multiple outcome support: Tests editing frequencies against binary, continuous, or survival outcomes.
• Covariate adjustment: Incorporates multiple covariate variables into statistical models.
• Interaction effects: Incorporates interaction effects into statistical models.

Scientific Applications:

• RNA editing association studies: Identifies associations between RNA editing levels and clinical or molecular phenotypes.
• Survival analysis: Evaluates relationships between RNA editing frequencies and patient survival outcomes.

Methodology:

Statistical modeling of editing frequencies with support for multiple covariates and interaction effects.