Jingying Zhou

This study evaluates how large language models perform in-class learning for antibody classification using biological sequences, finding that few-shot prompting with diverse demonstrations achieves competitive results.

RoBep predicts B-cell epitopes by modeling spatial continuity, improving performance on benchmark datasets and providing antibody-antigen binding regions.

This study introduces Stereo-XCR-seq, a method for in situ single-cell T and B cell repertoire sequencing, revealing spatial heterogeneity in lymphoid aggregates in immune disorders.

The paper introduces COMSV, a method for identifying structural variations in cancer samples, showing high sensitivity and specificity and detecting hundreds of novel SVs per sample.