Ben Cao

DNACSE improves DNA barcode identification by fine-tuning DNA language models with contrastive learning, achieving higher accuracy and clustering performance than existing methods.

DNARetrace reconstructs DNA sequences from raw data using a deep learning model, achieving competitive results across sequencing methods and downstream tasks.

This paper introduces FDMC to enable handle-level random access in encrypted DNA storage, balancing security and efficiency with high data recovery rates.

This paper constructs a mutation-disease dataset and proposes CGM to predict mutation-disease associations, identifying 22 unknown protein interaction pairs.