RNA machine learning for human health
The Yu lab is dedicated to applying and developing computational biology methods to understand dynamical RNA regulation in human disease systems.
Interests
The Yu lab is particularly interested in questions during RNA synthesis.
RNA structure
RNA splicing
Cleavage and polyadenylation
Effects of drugs
Molecular basis of disease
Therapeutic design
Toolkit
The Yu lab uses both experimental and computational tools to solve questions in RNA biology and aims to improve human health.
High-throughput assays
- Screen effects on RNA regulation
- Generate data for modeling
- Address hypotheses in one experiment
Computational Biology
- Machine learning
- Artificial Intelligence
- Explainability
Yu Lab 