Automatic recognition of complementary strands: Lessons regarding machine learning abilities in RNA folding
The paper evaluates how machine learning models handle RNA secondary structure prediction and complementary strand recognition, finding that model capacity and data quality significantly impact performance.
Frontiers in Genetics · Sep 4, 2023Peer-reviewedBioinformatics