Zishuai Wang

PigGPA improves genomic breeding analysis by combining domain knowledge with verifiable tool execution, achieving consistent results across tasks.

BOLE translates high-level genomic breeding intent into validated workflows using a knowledge base and large language model reasoning.

The paper analyzes whole-genome data from wild boars to trace their demographic history and identify genetic signatures of local adaptation in Central Asia.

I-Impute is a self-consistent imputation method for scRNA-seq data that outperforms existing tools in correlation and clustering accuracy on both simulated and real datasets.