Panel Discussion: Enhancing Computational RNA Prediction Through High Quality Data Generation, Language Models & Cross Learnings from Different RNA Modality & Small Molecule Worlds
Time: 1:00 pm
day: Conference Day One
Details:
- What are the key principles for experimental dataset generation to advance training for better computational model prediction of RNA therapeutic properties?
- What model architectures are currently being used outside of RNA discovery and what can be learnt from their training dataset for optimized predictive outcome?
- What is the minimal data set required with data quality preserved, and where can data from public repositories be leveraged to enhance model training?
