Guangshuo Cao

GenNA generates nucleotide sequences using natural-language annotations, showing improved performance in semantic and species context alignment without explicit biological rule supervision.

CellReasoner is a lightweight LLM for cell type annotation that uses reasoning to map gene expression to labels with zero- and few-shot generalization.

This study uses machine learning to predict breast cancer five-year survival using somatic genomic variants and phenotype data, achieving an AUC of 0.70 in an external dataset.