Paper Publications

• [1]  于娜. A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis.  IEEE Journal of Biomedical and Health Informatics,  27,  1225, 2023. 
• [2]  徐达. Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes.  FRONTIERS IN MICROBIOLOGY,  13,  2022. 
• [3]  武传艳. PRWHMDA: Human Microbe-Disease Association Prediction by Random Walk on the Heterogeneous Network with PSO.  INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES,  14,  849, 2018. 
• [4]  武传艳. A novel model for protein sequence similarity analysis based on spectral radius.  Journal of Theoretical Biology,  446,  61, 2018. 
• [5]  徐达. LncRNA-Protein Interaction Prediction Based on Regularized Nonnegative Matrix Factorization and Sequence Information.  MATCH Communications in Mathematical and in Computer Chemistry,  85, 
• [6]  徐含笑. Protein-Protein Interactions Prediction Based on Spectral Radius and General Regression Neural Network.  J. Proteome Res.,  20,  2020. 
• [7]  MDAKRLS: Predicting human microbedisease association based on Kronecker regularized least squares and similarities.  Journal of Translational Medicine,  19,  2021. 
• [8]  徐达. Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.  Molecules,  25,  2020. 
• [9]  徐达. Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.  BMC GENOMICS,  21,  2020. 
• [10]  王麟. QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion.  FRONTIERS IN GENETICS,  11,  2020. 
• [11]  徐达. MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities.  Journal of Translational Medicine,  19,  2021. 
• [12]  徐含笑. Protein-Protein Interaction Prediction Based on Spectral Radius and General Regression Neural Network.  Journal of Proteome Research,  20,  1657, 2021. 
• [13]  高瑞. PTPD: Predicting Therapeutic Peptides by Deep Learning and Word2vec.  BMC Bioinformatics,  20,  2019. 
• [14]  高瑞. PTPD: Predicting Therapeutic Peptides by Deep Learning and Word2vec.  BMC Bioinformatics,  20,  456, 2019. 
• [15]  高瑞. mHMDA: Human Microbe-Disease Association Prediction by Matrix Completion and Multi-Source Information.  IEEE Access（二区）,  7,  106687, 2019.