4 papers
Abundance-Aware Set Transformer for Microbiome Sample Embedding
Hyunwoo Yoo, Gail Rosen
Microbiome sample representation to input into LLMs is essential for downstream tasks such as phenotype prediction and environmental classification. While prior studies have explor…
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…
Fine Tuning Text-to-Image Diffusion Models for Correcting Anomalous Images
Hyunwoo Yoo
Since the advent of GANs and VAEs, image generation models have continuously evolved, opening up various real-world applications with the introduction of Stable Diffusion and DALL-…