9 citations · 22 across the 5 of their papers we have counts for
3 papers · 1 filter
Rethinking Performance Measures of RNA Secondary Structure Problems
Frederic Runge, Jörg K. H. Franke, Daniel Fertmann +1
Accurate RNA secondary structure prediction is vital for understanding cellular regulation and disease mechanisms. Deep learning (DL) methods have surpassed traditional algorithms…
Towards Automated Design of Riboswitches
Frederic Runge, Jörg K. H. Franke, Frank Hutter
Experimental screening and selection pipelines for the discovery of novel riboswitches are expensive, time-consuming, and inefficient. Using computational methods to reduce the num…
Scalable Deep Learning for RNA Secondary Structure Prediction
Jörg K. H. Franke, Frederic Runge, Frank Hutter
The field of RNA secondary structure prediction has made significant progress with the adoption of deep learning techniques. In this work, we present the RNAformer, a lean deep lea…