transformer models in genomics

transformer models in genomics

Machine Learning vs Transformer Models - Who Leads Genomics?

Transformer models have improved promoter activity prediction by 12% over traditional machine learning, positioning them as the leading approach in genomics regulatory annotation. They capture long-range interactions while modern ML pipelines still excel at rapid, reproducible workflows. Machine Learning Pipelines for DNA Sequence Functional Annotation When I built my first