4 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Predicting Microbial Ontology and Pathogen Risk from Environmental Metadata with Large Language Models
Hyunwoo Yoo, Gail L. Rosen
Traditional machine learning models struggle to generalize in microbiome studies where only metadata is available, especially in small-sample settings or across studies with hetero…
Can Large Language Models Predict Antimicrobial Resistance Gene?
Hyunwoo Yoo
This study demonstrates that generative large language models can be utilized in a more flexible manner for DNA sequence analysis and classification tasks compared to traditional t…
Exploring Adversarial Robustness in Classification tasks using DNA Language Models
Hyunwoo Yoo, Haebin Shin, Kaidi Xu +1
DNA Language Models, such as GROVER, DNABERT2 and the Nucleotide Transformer, operate on DNA sequences that inherently contain sequencing errors, mutations, and laboratory-induced…
Predicting Anti-microbial Resistance using Large Language Models
Hyunwoo Yoo, Bahrad Sokhansanj, James R. Brown +1
During times of increasing antibiotic resistance and the spread of infectious diseases like COVID-19, it is important to classify genes related to antibiotic resistance. As natural…