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A Machine Learning Model for Phage-Host Interaction Prediction Combining Hyperbolic Poincaré Graph Embeddings with a Large-Scale Protein Language TechniqueiScience,2025,
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MHIPM: Accurate Prediction of Microbe-Host interactions Using Multi-View Features from Heterogeneous Microbial NetworkJournal of Chemical Information and Modeling,2024,
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A microbial knowledge graph-based deep learning model for predicting candidate microbes for target hostsBriefings in Bioinformatics,2024,
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PTBGRP: predicting phage–bacteria interactions with graph representation learning on microbial heterogeneous information networkBriefings in Bioinformatics,2023,
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GSPHI: a novel deep learning model for predicting phage-host interactions via multiple biological informationComputational and Structural Biotechnology Journal,2023,
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Impact of selenium on rhizosphere microbiome of a hyperaccumulation plant Cardamine violifoliaEnvironmental Science and Pollution Research International,2022,
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Microbial functional communities and the antibiotic resistome profile in a high-selenium ecosystemChemosphere,2022,
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Effect of salinity on removalperformance in hydrolysis acidification reactors treating textile wastewater.Bioresource Technology,2020,
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Protective effects of selenium-enriched peptides from cardamine violifolia against high-fat diet induced obesity and its associated metabolic disorders in mice.RSC Advances,2020,
