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Fei Guo 0001
Person information
- affiliation: Central South University, School of Computer Science and Engineering, Changsha , China
- affiliation: Tianjin University, Tianjin, China
Other persons with the same name
- Fei Guo — disambiguation page
- Fei Guo 0002 — Ryerson University, Toronto, ON, Canada
- Fei Guo 0003
— Shanghai Jiao Tong University, Minhang, Shanghai, China
- Fei Guo 0004
— Chongqing University, Chongqing, China
- Fei Guo 0005
— Nanjing Normal University, Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing, China
- Fei Guo 0006
— Xi'an University of Technology, School of Electronics Engineering, Xi'an, China
- Fei Guo 0007 — Shantou University, Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques, Shantou, China
- Fei Guo 0008 — Nanjing Normal University, School of Mathematical Sciences, Nanjing, China
- Fei Guo 0009
— Wuhan University, School of Geodesy and Geomatics, China
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2020 – today
- 2024
- [j94]Shiqiang Ma
, Xuejian Li, Jijun Tang
, Fei Guo:
Aggregate-aware model with bidirectional edge generation for medical image segmentation. Appl. Soft Comput. 163: 111918 (2024) - [j93]Mingliang Dou
, Jijun Tang
, Prayag Tiwari
, Yijie Ding
, Fei Guo
:
Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review. ACM Comput. Surv. 56(6): 158:1-158:33 (2024) - [j92]Hao Xie
, Yijie Ding
, Yuqing Qian, Prayag Tiwari
, Fei Guo
:
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction. Expert Syst. Appl. 235: 121157 (2024) - [j91]Xuejian Li, Shiqiang Ma
, Junhai Xu, Jijun Tang
, Shengfeng He
, Fei Guo
:
TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation. Expert Syst. Appl. 237(Part C): 121574 (2024) - [j90]Jia Jin, Qiaozhen Meng, Min Zeng, Guihua Duan, Ercheng Wang, Fei Guo:
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools. Future Gener. Comput. Syst. 160: 724-738 (2024) - [j89]Leyao Wang, Prayag Tiwari, Yijie Ding
, Fei Guo:
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis. IEEE Trans. Artif. Intell. 5(2): 895-903 (2024) - [j88]Yijie Ding
, Fei Guo
, Prayag Tiwari, Quan Zou:
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model. IEEE Trans. Artif. Intell. 5(5): 2151-2162 (2024) - [j87]Rui Guo
, Xu Tian
, Hanhe Lin
, Stephen J. McKenna
, Hong-Dong Li
, Fei Guo
, Jin Liu
:
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 57-68 (2024) - [j86]Ke Ma
, Jiawei Li
, Mengyuan Zhao
, Ibrahim Zamit
, Bin Lin
, Fei Guo
, Jijun Tang:
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 480-491 (2024) - 2023
- [j85]Mingliang Dou, Jiaqi Ding, Genlang Chen, Junwen Duan, Fei Guo, Jijun Tang:
IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction. Briefings Bioinform. 24(3) (2023) - [j84]Qiaozhen Meng, Fei Guo, Jijun Tang:
Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model. Briefings Bioinform. 24(4) (2023) - [j83]Qiaozhen Meng, Fei Guo, Ercheng Wang
, Jijun Tang
:
ComDock: A novel approach for protein-protein docking with an efficient fusing strategy. Comput. Biol. Medicine 167: 107660 (2023) - [j82]Haocheng Wang, Songshan Yue, Zhuo Zhang, Fei Guo, Yongning Wen, Min Chen, Guonian Lü:
Development of a component-based integrated modeling framework for urban flood simulation. Environ. Model. Softw. 169: 105839 (2023) - [j81]Jiaqi Ding, Junhai Xu
, Jianguo Wei
, Jijun Tang, Fei Guo
:
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization. Expert Syst. Appl. 212: 118744 (2023) - [j80]Yijie Ding
, Prayag Tiwari
, Fei Guo, Quan Zou:
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100: 101911 (2023) - [j79]Leyao Wang, Yijie Ding
, Prayag Tiwari
, Junhai Xu, Wenhuan Lu, Khan Muhammad
, Victor Hugo C. de Albuquerque, Fei Guo:
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites. Inf. Sci. 630: 40-52 (2023) - [j78]Nan Song, Ruihan Dong
, Yuqian Pu, Ercheng Wang
, Junhai Xu, Fei Guo:
Pmf-cpi: assessing drug selectivity with a pretrained multi-functional model for compound-protein interactions. J. Cheminformatics 15(1): 97 (2023) - [j77]Chengwei Ai
, Prayag Tiwari
, Hongpeng Yang, Yijie Ding
, Jijun Tang
, Fei Guo
:
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model. IEEE Trans. Artif. Intell. 4(5): 1236-1245 (2023) - [j76]Yijie Ding
, Wenying He, Jijun Tang
, Quan Zou
, Fei Guo
:
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 500-511 (2023) - [j75]Yuqing Qian, Yijie Ding
, Quan Zou
, Fei Guo
:
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1234-1245 (2023) - [j74]Chengwei Ai
, Hongpeng Yang
, Yijie Ding
, Jijun Tang
, Fei Guo
:
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3033-3043 (2023) - [c20]Jiawei Li, Shizhan Chen, Shiqiang Ma, Fei Guo, Jijun Tang:
MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation. BIBM 2023: 1242-1247 - [c19]Junwen Duan, Fei Guo, Jin Liu, Hongdong Li:
Enhancing Database Principles Teaching with ChatGPT-Like Language Models. ICCSE (1) 2023: 295-300 - 2022
- [j73]Yijie Ding
, Chao Yang, Jijun Tang, Fei Guo:
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model. Appl. Intell. 52(6): 6598-6612 (2022) - [j72]Leyao Wang, Yijie Ding
, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo
:
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation. Appl. Soft Comput. 122: 108840 (2022) - [j71]Yingxin Kan, Limin Jiang, Yan Guo, Jijun Tang, Fei Guo:
Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes. Briefings Bioinform. 23(1) (2022) - [j70]Yijie Ding
, Jijun Tang, Fei Guo, Quan Zou:
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. Briefings Bioinform. 23(2) (2022) - [j69]Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo
:
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. Briefings Bioinform. 23(2) (2022) - [j68]Wei Zhang, Qiaozhen Meng, Jianxin Wang, Fei Guo:
HDIContact: a novel predictor of residue-residue contacts on hetero-dimer interfaces via sequential information and transfer learning strategy. Briefings Bioinform. 23(4) (2022) - [j67]Jitong Feng, Shengbo Wu
, Hongpeng Yang, Chengwei Ai, Jianjun Qiao, Junhai Xu, Fei Guo
:
Microbe-bridged disease-metabolite associations identification by heterogeneous graph fusion. Briefings Bioinform. 23(6) (2022) - [j66]Yuqing Qian, Yijie Ding
, Quan Zou, Fei Guo:
Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings Bioinform. 23(6) (2022) - [j65]Xuejian Li, Shiqiang Ma
, Jin Liu, Jijun Tang, Fei Guo
:
Inferring gene regulatory network via fusing gene expression image and RNA-seq data. Bioinform. 38(6): 1716-1723 (2022) - [j64]Ren Qi, Fei Guo, Quan Zou:
String kernels construction and fusion: a survey with bioinformatics application. Frontiers Comput. Sci. 16(6): 166904 (2022) - [j63]Chengwei Ai, Hongpeng Yang, Yijie Ding
, Jijun Tang, Fei Guo:
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. Neurocomputing 493: 91-105 (2022) - [j62]Ruihan Dong
, Hongpeng Yang, Chengwei Ai, Guihua Duan, Jianxin Wang, Fei Guo:
DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction. J. Chem. Inf. Model. 62(22): 5830-5840 (2022) - [j61]Hongpeng Yang
, Yijie Ding
, Jijun Tang
, Fei Guo:
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network. Knowl. Based Syst. 238: 107888 (2022) - [j60]Ping Li, Prayag Tiwari
, Junhai Xu, Yuqing Qian, Chengwei Ai, Yijie Ding
, Fei Guo:
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases. Knowl. Based Syst. 258: 110044 (2022) - [j59]Xuejian Li, Jiaqi Ding, Jijun Tang, Fei Guo
:
Res2Unet: A multi-scale channel attention network for retinal vessel segmentation. Neural Comput. Appl. 34(14): 12001-12015 (2022) - [j58]Yijie Ding
, Prayag Tiwari
, Fei Guo, Quan Zou:
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156: 170-178 (2022) - [j57]Yuqian Pu, Jiawei Li, Jijun Tang
, Fei Guo
:
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2760-2769 (2022) - [j56]Haohao Zhou
, Hao Wang, Jijun Tang, Yijie Ding
, Fei Guo
:
Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3517-3529 (2022) - [j55]Yijie Ding
, Prayag Tiwari
, Quan Zou
, Fei Guo
, Hari Mohan Pandey
:
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 30(11): 4754-4765 (2022) - [c18]Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM 2022: 102-107 - [c17]Mingliang Dou, Han Han, Genlang Chen, Fei Guo, Jijun Tang:
BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text. BIBM 2022: 410-415 - [c16]Nanxing Zhang, Shiqiang Ma
, Xuejian Li, Jiahui Zhang, Jijun Tang, Fei Guo:
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation. BIBM 2022: 1381-1386 - [i4]Xuejian Li, Shiqiang Ma, Jijun Tang, Fei Guo:
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation. CoRR abs/2204.12185 (2022) - [i3]Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation. CoRR abs/2208.09197 (2022) - 2021
- [j54]Hongpeng Yang, Yijie Ding
, Jijun Tang, Fei Guo
:
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares. Appl. Soft Comput. 112: 107811 (2021) - [j53]Jing Li, Leyi Wei
, Fei Guo, Quan Zou:
EP3: an ensemble predictor that accurately identifies type III secreted effectors. Briefings Bioinform. 22(2): 1918-1928 (2021) - [j52]Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo:
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences. Briefings Bioinform. 22(3) (2021) - [j51]Ren Qi, Jin Wu, Fei Guo, Lei Xu, Quan Zou:
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data. Briefings Bioinform. 22(4) (2021) - [j50]Jing Li, Lichao Zhang, Shida He, Fei Guo
, Quan Zou
:
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning. Briefings Bioinform. 22(5) (2021) - [j49]Hao Wang, Jijun Tang, Yijie Ding
, Fei Guo:
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment. Briefings Bioinform. 22(5) (2021) - [j48]Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo:
A comprehensive overview and critical evaluation of gene regulatory network inference technologies. Briefings Bioinform. 22(5) (2021) - [j47]Wenying He
, Jijun Tang, Quan Zou, Fei Guo:
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. Briefings Bioinform. 22(6) (2021) - [j46]Limin Jiang, Hui Yu, Jiawei Li, Jijun Tang, Yan Guo, Fei Guo:
Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings Bioinform. 22(6) (2021) - [j45]Wei Zhang, Qiaozhen Meng, Jijun Tang, Fei Guo:
Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset. Briefings Bioinform. 22(6) (2021) - [j44]Yuqing Qian, Limin Jiang, Yijie Ding
, Jijun Tang, Fei Guo
:
A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC Bioinform. 22-S(3): 291 (2021) - [j43]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461: 618-631 (2021) - [j42]Chao Yang, Yijie Ding
, Qiaozhen Meng, Jijun Tang, Fei Guo
:
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information. Neural Comput. Appl. 33(17): 11387-11399 (2021) - [j41]Yubo Wang, Yijie Ding
, Jijun Tang
, Yu Dai, Fei Guo
:
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 325-335 (2021) - [j40]Jinhao Zhang, Zehua Zhang, Lianrong Pu, Jijun Tang, Fei Guo
:
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1831-1840 (2021) - [j39]Yijie Ding
, Jijun Tang
, Fei Guo
:
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1986-1995 (2021) - [j38]Yan Zheng, Hao Wang, Yijie Ding
, Fei Guo
:
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2768-2774 (2021) - [j37]Yinuo Lyu
, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding
, Fei Guo
:
iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2809-2815 (2021) - [j36]Zehua Zhang, Jiaqi Ding, Junhai Xu
, Jijun Tang, Fei Guo
:
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 25(1): 209-217 (2021) - [j35]Yinuo Lyu
, Wenying He, Shuhao Li, Quan Zou
, Fei Guo
:
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition. IEEE J. Biomed. Health Informatics 25(6): 2329-2337 (2021) - [c15]Mingliang Dou, Jijun Tang, Fei Guo:
Document-level DDI relation extraction with document-entity embedding. BIBM 2021: 392-397 - [c14]Qiaozhen Meng, Jijun Tang, Fei Guo:
Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning. BIBM 2021: 710-713 - [c13]Shiqiang Ma
, Xuejian Li, Jijun Tang, Fei Guo:
MIASNet: A medical image segmentation method predicting future based on past and current cases. BIBM 2021: 1014-1019 - [c12]Shiqiang Ma
, Xuejian Li, Zehua Zhang, Jijun Tang, Fei Guo:
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture. BIBM 2021: 1020-1025 - [c11]Shiqiang Ma
, Xuejian Li, Jijun Tang, Fei Guo:
A Zero-Shot Method for 3D Medical Image Segmentation. ICME 2021: 1-6 - 2020
- [j34]Yijie Ding
, Jijun Tang, Fei Guo:
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96: 106596 (2020) - [j33]Yinan Shen, Yijie Ding
, Jijun Tang, Quan Zou, Fei Guo:
Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings Bioinform. 21(5): 1628-1640 (2020) - [j32]Chaolu Meng, Fei Guo, Quan Zou:
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes. Comput. Biol. Chem. 87: 107304 (2020) - [j31]Yijie Ding
, Limin Jiang, Jijun Tang, Fei Guo:
Identification of human microRNA-disease association via hypergraph embedded bipartite local model. Comput. Biol. Chem. 89: 107369 (2020) - [j30]Hao Wang, Yijie Ding
, Jijun Tang, Fei Guo:
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. Neurocomputing 383: 257-269 (2020) - [j29]Zongyu Wang, Wenying He, Jijun Tang, Fei Guo:
Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families. J. Chem. Inf. Model. 60(3): 1876-1883 (2020) - [j28]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion. Knowl. Based Syst. 204: 106254 (2020) - [j27]Yijie Ding
, Jijun Tang, Fei Guo
:
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32(14): 10303-10319 (2020) - [j26]Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou
, Fei Guo
:
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides. IEEE J. Biomed. Health Informatics 24(10): 3012-3019 (2020) - [c10]Jinhao Zhang, Shuhao Li, Yijie Ding
, Jijun Tang, Fei Guo:
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. BIBM 2020: 56-61 - [c9]Jie Song, Jiawei Li, Shiqiang Ma
, Jijun Tang, Fei Guo:
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network. BIBM 2020: 751-756 - [c8]Shiqiang Ma
, Zehua Zhang, Jiaqi Ding, Xuejian Li, Jijun Tang, Fei Guo:
A Deep Supervision CNN Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 158-167
2010 – 2019
- 2019
- [j25]Cong Shen, Yijie Ding
, Jijun Tang, Limin Jiang, Fei Guo
:
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE Access 7: 13486-13496 (2019) - [j24]Fei Guo
, Quan Zou, Guang Yang, Dan Wang, Jijun Tang, Junhai Xu
:
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation. BMC Bioinform. 20-S(15): 483 (2019) - [j23]Kaiyang Qu, Feng Gao, Fei Guo, Quan Zou:
Taxonomy dimension reduction for colorectal cancer prediction. Comput. Biol. Chem. 83 (2019) - [j22]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing 325: 211-224 (2019) - [j21]Yijie Ding
, Jijun Tang
, Fei Guo
:
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. IEEE J. Biomed. Health Informatics 23(6): 2619-2632 (2019) - [c7]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. ICIC (2) 2019: 468-479 - 2018
- [j20]Fei Guo, Dan Wang, Lusheng Wang:
Progressive approach for SNP calling and haplotype assembly using single molecular sequencing data. Bioinform. 34(12): 2012-2018 (2018) - [j19]Zehua Zhang, Jian Song, Jijun Tang, Xinying Xu, Fei Guo:
Detecting complexes from edge-weighted PPI networks via genes expression analysis. BMC Syst. Biol. 12(4): 29-40 (2018) - [j18]Zhi-Zhong Chen, Youta Harada, Fei Guo, Lusheng Wang:
An approximation algorithm for maximum internal spanning tree. J. Comb. Optim. 35(3): 955-979 (2018) - [j17]Zhi-Zhong Chen, Youta Harada, Fei Guo, Lusheng Wang:
Approximation algorithms for the scaffolding problem and its generalizations. Theor. Comput. Sci. 734: 131-141 (2018) - 2017
- [j16]Leyi Wei
, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su
, Fei Guo:
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83: 67-74 (2017) - [j15]Zehua Zhang, Kecheng Guo, Gaofeng Pan, Jijun Tang, Fei Guo:
Improvement of phylogenetic method to analyze compositional heterogeneity. BMC Syst. Biol. 11(S-4): 27-33 (2017) - [j14]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418: 546-560 (2017) - [j13]Yijie Ding
, Jijun Tang, Fei Guo:
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. J. Chem. Inf. Model. 57(12): 3149-3161 (2017) - [c6]Zhi-Zhong Chen, Youta Harada, Fei Guo, Lusheng Wang:
An Approximation Algorithm for Maximum Internal Spanning Tree. WALCOM 2017: 385-396 - 2016
- [j12]Yijie Ding
, Jijun Tang, Fei Guo:
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17: 398 (2016) - [j11]Fei Guo, Yijie Ding
, Shuai Cheng Li
, Chao Shen, Lusheng Wang:
Protein-protein interface prediction based on hexagon structure similarity. Comput. Biol. Chem. 63: 83-88 (2016) - [j10]Zhao Li, Jijun Tang, Fei Guo:
Learning from real imbalanced data of 14-3-3 proteins binding specificity. Neurocomputing 217: 83-91 (2016) - [c5]Zhi-Zhong Chen, Youta Harada, Eita Machida, Fei Guo, Lusheng Wang:
Better Approximation Algorithms for Scaffolding Problems. FAW 2016: 17-28 - [i2]Dan Wang, Shuaicheng Li, Fei Guo, Lusheng Wang:
Core-genome scaffold comparison reveals the prevalence that inversion events are associated with pairs of inverted repeats. CoRR abs/1608.02375 (2016) - 2015
- [j9]Fei Guo, Yijie Ding
, Zhao Li, Jijun Tang:
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface. J. Chem. Inf. Model. 55(9): 2042-2049 (2015) - [j8]Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang
, Nick Hughes:
A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning. Neural Networks 71: 45-54 (2015) - [i1]Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang, Nick Hughes:
A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning. CoRR abs/1507.08847 (2015) - 2014
- [j7]Jiachen Yang, Fei Guo, Huogen Wang
, Zhiyong Ding:
A multi-view image rectification algorithm for matrix camera arrangement. Artif. Intell. Res. 3(1): 18-29 (2014) - [j6]Fei Guo, Shuai Cheng Li
, Pufeng Du, Lusheng Wang
:
Probabilistic Models for Capturing More Physicochemical Properties on Protein-Protein Interface. J. Chem. Inf. Model. 54(6): 1798-1809 (2014) - [j5]Jiachen Yang, Zhiyong Ding, Fei Guo, Huogen Wang
:
Multiview image rectification algorithm for parallel camera arrays. J. Electronic Imaging 23(3): 033001 (2014) - 2013
- [j4]Fei Guo, Shuai Cheng Li
, Wenji Ma, Lusheng Wang:
Detecting Protein Conformational Changes in Interactions via Scaling Known Structures. J. Comput. Biol. 20(10): 765-779 (2013) - [c4]Huogen Wang
, Jiachen Wang, Zhiyong Ding, Fei Guo:
Self-converging camera arrays: Models and realization. ICNC 2013: 338-342 - [c3]Fei Guo, Shuai Cheng Li
, Wenji Ma, Lusheng Wang
:
Detecting Protein Conformational Changes in Interactions via Scaling Known Structures. RECOMB 2013: 58-74 - 2012
- [j3]Fei Guo, Shuai Cheng Li
, Lusheng Wang
, Daming Zhu:
Protein-protein binding site identification by enumerating the configurations. BMC Bioinform. 13: 158 (2012) - [j2]Fei Guo, Lusheng Wang:
Computing the protein binding sites. BMC Bioinform. 13(S-10): S2 (2012) - [c2]Fei Guo, Shuai Cheng Li
, Lusheng Wang
:
P-Binder: A System for the Protein-Protein Binding Sites Identification. ISBRA 2012: 127-138 - 2011
- [j1]Fei Guo, Shuai Cheng Li
, Lusheng Wang
:
Protein-Protein Binding Sites Prediction by 3D Structural Similarities. J. Chem. Inf. Model. 51(12): 3287-3294 (2011) - [c1]Fei Guo, Lusheng Wang
:
Computing the Protein Binding Sites. ISBRA 2011: 25-36
Coauthor Index
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