Zhencheng Fang

This study identifies six bacterial genera enriched in glioma tissues and shows their association with specific metabolites and gene pathways involved in glioma development.

This paper introduces HRPredict, a method using one-class SVM and language model-based word vectors to predict plasmid host ranges across bacterial taxa, achieving high accuracy in benchmark tests.

MOBFinder classifies plasmid metagenomic fragments into MOB categories using natural language models, achieving higher accuracy than existing tools.

DeePVP improves PVP identification and classification using deep learning, achieving higher accuracy than existing tools in both tasks.

DeePhage is a deep learning tool that classifies virulent and temperate phage-derived sequences in metavirome data with high accuracy and speed.

HoPhage identifies phage hosts from metavirome short reads using deep learning and a Markov chain model, achieving good performance on short fragments across a wide host range.