Stanford Unveils ENCODE GRAMMAR: 3,865 Datasets Decoding Regulatory DNA
Stanford PhD student Chang Yun will present ENCODE GRAMMAR at Berkeley's BioML seminar on Oct 19, one of the largest collections of regulatory DNA sequence models, built on 3,865 datasets to decode the logic of human gene regulation.
2026-10-15 ~ 2026-10-15 · 2 related posts
- Stanford unveils ENCODE GRAMMAR: seq2func models across 3,865 datasets decode regulatory DNA — anshulkundaje · 2026-10-15
- ENCODE GRAMMAR: 3865-dataset seq2func model collection decodes regulatory DNA sequence logic — anshulkundaje · 2026-10-15