2 papers
q-bio.GN2025
Near-Lossless Model Compression Enables Longer Context Inference in DNA Large Language Models
Rui Zhu, Xiaopu Zhou, Haixu Tang +2
Trained on massive cross-species DNA corpora, DNA large language models (LLMs) learn the fundamental "grammar" and evolutionary patterns of genomic sequences. This makes them power…
cs.LG2022
SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study
Samuel Cahyawijaya, Tiezheng Yu, Zihan Liu +4
Self-supervised pre-training methods have brought remarkable breakthroughs in the understanding of text, image, and speech. Recent developments in genomics has also adopted these p…