RNAmodR.ML

RNAmodR.ML extends the functionality of the RNAmodR package and classical detection strategies towards detection of post-transcriptional RNA modifications through machine learning models.

Key Features:

• Machine Learning Integration: Extends classical detection strategies with machine learning-based detection approaches for RNA modification analysis.
• Extensible Framework: Provides classes, functions, and an example workflow to establish a detection strategy that can be packaged.

Scientific Applications:

• Post-transcriptional Modification Detection: Detects patterns of post-transcriptional modifications using machine learning models.

Methodology:

Machine learning-based detection strategies are employed as an extension to classical detection approaches.