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Application Research on Multi-agent Distributed Technology in Instrument Products Collaborative Design System.

, , , , and . DET, volume 66 of Advances in Intelligent and Soft Computing, page 305-313. Springer, (2009)

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Application Research on Multi-agent Distributed Technology in Instrument Products Collaborative Design System., , , , and . DET, volume 66 of Advances in Intelligent and Soft Computing, page 305-313. Springer, (2009)DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features., , , , , , , , and . Briefings Bioinform., 22 (1): 451-462 (2021)NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods., , , , , , , , , and 2 other author(s). Briefings Bioinform., (2021)Immunoinformatics-driven In silico vaccine design for Nipah virus (NPV): Integrating machine learning and computational epitope prediction., , , , , , and . Comput. Biol. Medicine, (March 2024)DDSBC: A Stacking Ensemble Classifier-Based Approach for Breast Cancer Drug-Pair Cell Synergy Prediction., , and . J. Chem. Inf. Model., 64 (16): 6421-6431 (2024)A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design., , , , , , , , , and 2 other author(s). Nat. Mach. Intell., 4 (3): 300-311 (2022)MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph., , , , , , , , , and 1 other author(s). Briefings Bioinform., (2021)An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model., , , , , and . J. Cheminformatics, 16 (1): 67 (December 2024)Identification of novel drug targets for diamond-blackfan anemia based on RPS19 gene mutation using protein-protein interaction network., , , , , , and . BMC Syst. Biol., 12 (4): 5-16 (2018)Discovering potent inhibitors against the Mpro of the SARS-CoV-2. A medicinal chemistry approach., , , , and . Comput. Biol. Medicine, (2022)