Yang Zhang

PrefixProt uses prefix tuning to design proteins with controllable properties, outperforming other methods in efficiency and multi-objective control.

This paper introduces iMFP-LG, a method combining protein language models and graph attention networks to identify multi-functional peptides, identifying 8 candidates and confirming one with antibacterial and anticancer effects.

MEAHNE predicts miRNA-disease associations using a heterogeneous network model, achieving high accuracy and verifying predictions against databases.

This paper introduces a transfer learning method using FCGAN for Toxoplasma gondii microscopic image recognition, achieving high accuracy in detecting parasite shapes.

This paper introduces a multilayer network analysis combining machine learning and complex network methods to identify miRNAs and proteins as biomarkers for breast cancer.