Published papers
  1. F Guo, D Wang, L Wang*. Progressive approach for SNP calling and haplotype assembly using single molecular sequencing data. Bioinformatics, 34 (12), 2012-2018, 2018.
  2. Y Wang, Y Ding, J Tang, Y Dai, F Guo*. CrystalM: a multi-view fusion approach for protein crystallization prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-1, 2019.
  3. Z Zhang, J Xu, J Tang, Q Zou, F Guo*. Diagnosis of Brain Diseases via Multi-Scale Time-Series Model. Frontiers in neuroscience, 13, 197, 2019.
  4. C Shen, Y Ding, J Tang, F Guo*. Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions, Frontiers in Genetics, 9, 716, 2019.
  5. L Jiang, C Wang, J Tang, F Guo*. LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data. BMC Genomics, 20(1), 306, 2019.
  6. Y Ding, J Tang, F Guo*. Identification of Drug-side Effect Association via Semi-supervised Model and Multiple Kernel Learning. IEEE Journal of Biomedical and Health Informatics, 2018.
  7. Y Ding, J Tang, F Guo*. Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing, 325 (24), 211-224, 2018.
  8. C Shen, Y Ding, J Tang, L Jiang, F Guo*. LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE Access, 7, 13486-13496, 2019.
  9. L Jiang, Y Xiao, Y Ding, J Tang, F Guo*. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association. BMC Genomics, 19 (10), 911, 2018.
  10. L Jiang, Y Xiao, Y Ding, J Tang, F Guo*. Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data. Frontiers in Genetics, 10, 20, 2019.
  11. Y Shen, J Tang, F Guo*. Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC. Journal of Theoretical Biology, 462 (7), 230-239, 2018.
  12. Y Ding, J Tang, F Guo*. Identification of Drug-side Effect Association via Semi-supervised Model and Multiple Kernel Learning. IEEE journal of biomedical and health informatics, 2018.
  13. L Jiang, Y Ding, J Tang, F Guo*. MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association. Frontiers in Genetics, 9, 618, 2018.
  14. Z Zhang, J Song, J Tang, X Xu, F Guo*. Detecting complexes from edge-weighted PPI networks via genes expression analysis. BMC Systems Biology 12(4):40, 2018. (SCI: 2.050).
  15. Z Zhang, J Tang, F Guo*. Complex Detection in PPI Network Using Genes Expression Information. Current Proteomics 15 (2), 119-127, 2018. (SCI: 0.606).
  16. G Pan, L Jiang, J Tang, F Guo*. A novel computational method for detecting DNA methylation sites with DNA sequence information and physicochemical properties. International Journal of Molecular Sciences 19 (2), 511, 2018. (SCI: 3.687, Cited: 1).
  17. J Song, J Tang, F Guo*. Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach. International Journal of Biological Sciences 14 (8), 863-871, 2018. (SCI: 4.057, Cited: 1)
  18. Y Ding, J Tang, F Guo*. Identification of drug-target interactions via multiple information integration. Information Sciences 418, 546-560, 2017. (SCI: 4.305, Cited: 6).
  19. C Shen, Y Ding, J Tang, J Song, F Guo*. Identification of DNA-protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information. Molecules 22 (12), 2079, 2017. (SCI: 3.098, Cited: 1).
  20. Y Ding, J Tang, F Guo*. Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. Journal of Chemical Information and Modeling 57 (12), 3149-3161, 2017. (SCI: 3.804, Cited: 1).
  21. Y Wang, Y Ding, F Guo*, L Wei, J Tang*. Improved detection of DNA-binding proteins via compression technology on PSSM information. PloS ONE 12 (9), e0185587, 2017. (SCI: 2.766, Cited: 4).
  22. Z Zhang, K Guo, G Pan, J Tang, F Guo*. Improvement of phylogenetic method to analyze compositional heterogeneity. BMC Systems Biology 11 (4), 79, 2017. (SCI: 2.050).
  23. C Shen, Y Ding, J Tang, X Xu, F Guo*. An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features. International Journal of Molecular Sciences 18 (8), 1781, 2017. (SCI: 3.687, Cited: 4).
  24. G Pan, J Tang, F Guo*. Analysis of co-associated transcription factors via ordered adjacency differences on motif distribution. Scientific Reports 7, 43597, 2017. (SCI: 4.122, Cited: 5).
  25. Z Li, J Tang, F Guo*. Learning from real imbalanced data of 14-3-3 proteins binding specificity. Neurocomputing 217, 83-91, 2016. (SCI: 3.241, Cited: 4).
  26. Y Ding, J Tang, F Guo*. Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinformatics 17 (1), 398, 2016. (SCI: 2.213, Cited: 11).
  27. Y Ding, J Tang, F Guo*. Identification of Protein–Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information. International Journal of Molecular Sciences 17 (10), 1623, 2016. (SCI: 3.687, Cited: 12).
  28. F Guo, Y Ding, SC Li, C Shen, L Wang*. Protein-protein interface prediction based on hexagon structure similarity. Computational Biology and Chemistry 63, 83-88, 2016. (SCI: 1.412, Cited: 3).
  29. ZZ Chen, Y Harada, E Machida, F Guo, L Wang*. Better approximation algorithms for scaffolding problems. International Workshop on Frontiers in Algorithmics, 17-28, 2016. (EI, Cited: 2).
  30. Y Ding, J Tang, F Guo*. Identification of Residue-Residue Contacts Using a Novel Coevolution-Based Method. Current Proteomics 13 (2), 122-129, 2016. (SCI: 0.606, Cited: 2).
  31. Z Li, J Tang, F Guo*. Identification of 14-3-3 proteins phosphopeptide-binding specificity using an affinity-based computational approach. PloS ONE 11 (2), e0147467, 2016. (SCI: 2.766, Cited: 12).
  32. Z Li, Y Zhao, G Pan, J Tang, F Guo*. A novel peptide binding prediction approach for HLA-DR molecule based on sequence and structural information. BioMed Research International 2016. (SCI: 2.583, Cited: 3).
  33. F Guo, SC Li, Z Wei, D Zhu, C Shen, L Wang*. Structural neighboring property for identifying protein-protein binding sites. BMC Systems Biology 9 (5), S3, 2015. (SCI: 2.050, Cited: 1).
  34. F Guo, Y Ding, Z Li, J Tang*. Identification of protein-protein interactions by detecting correlated mutation at the interface. Journal of Chemical Information and Modeling 55 (9), 2042-2049, 2015. (SCI: 3.804, Cited: 7).
  35. F Guo, S C Li, Y Fan, L Wang*. Identifying Protein-Protein Binding Sites with a Combined Energy Function. Current Protein and Peptide Science 15 (6), 540-552, 2014. (SCI: 2.696).
  36. F Guo, SC Li, P Du, L Wang*. Probabilistic models for capturing more physicochemical properties on protein-protein interface. Journal of Chemical Information and Modeling 54 (6), 1798-1809, 2014. (SCI: 3.804, Cited: 5).
  37. F Guo, SC Li, W Ma, L Wang*. Detecting protein conformational changes in interactions via scaling known structures. Annual International Conference on Research in Computational Molecular, 2013. (EI, Cited: 5).
  38. F Guo, SC Li, L Wang*, D Zhu. Protein-protein binding site identification by enumerating the configurations. BMC Bioinformatics 13 (1), 158, 2012. (SCI: 2.213, Cited: 10).
  39. F Guo, SC Li, L Wang*. P-Binder: a system for the protein-protein binding sites identification International Symposium on Bioinformatics Research and Applications, 127-138, 2012. (EI, Cited: 5)
  40. F Guo, SC Li, L Wang*. Protein–protein binding sites prediction by 3D structural similarities. Journal of Chemical Information and Modeling 51 (12), 3287-3294, 2011. (SCI: 3.804, Cited: 8).
  41. F Guo, L Wang*. Computing the protein binding sites. International Symposium on Bioinformatics Research and Applications, 25-36, 2011. (EI).
  42. F Guo, L Wang*, Y Yang, G Lin. Efficient algorithms for 3D protein substructure identification. International Conference Bioinformatics and Biomedical Engineering, 2010. (EI, Cited: 4).