Genome Understanding
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Genome Understanding
GUE
Most implemented papers
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
Decoding the linguistic intricacies of the genome is a crucial problem in biology, and pre-trained foundational models such as DNABERT and Nucleotide Transformer have made significant strides in this area.
SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study
hltchkust/snp2vec
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BioNLP (ACL) 2022
We apply SNP2Vec to perform long-sequence genomics modeling, and we evaluate the effectiveness of our approach on predicting Alzheimer's disease risk in a Chinese cohort.
Efficient and Scalable Fine-Tune of Language Models for Genome Understanding
Impressively, applying these adapters on natural language foundation models matched or even exceeded the performance of DNA foundation models.
