Lihong Peng

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 18

Top Topics

Regularized Least Squares

Decision Tree Classifiers

Top Venues

Comput. Biol. Medicine

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Lihong Peng, Pengfei Gao, Wei Xiong, Zejun Li, Xing Chen
Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis. Comput. Biol. Medicine 171 (2024)
Junyi Peng, Lihong Peng, Zidong Zhou, Xu Han, Hui Xu, Lijun Lu, Wenbing Lv
Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer. Biomed. Signal Process. Control. 92 (2024)
Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Wenbing Lv, Zidong Zhou, Junyi Peng, Lihong Peng, Guoyu Lin, Huiqin Wu, Hui Xu, Lijun Lu
Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging. Comput. Methods Programs Biomed. 230 (2023)
Lihong Peng, Xianzhi He, Xinhuai Peng, Zejun Li, Li Zhang
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering. Comput. Biol. Medicine 166 (2023)
Lihong Peng, Jingwei Tan, Wei Xiong, Li Zhang, Zhao Wang, Ruya Yuan, Zejun Li, Xing Chen
Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data. Comput. Biol. Medicine 163 (2023)
Lihong Peng, Liangliang Huang, Yuankang Lu, Guangyi Liu, Min Chen, Guosheng Han
Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning. BIBM (2022)
Lihong Peng, Xianzhi He, Li Zhang, Xinhuai Peng, Yuankang Lu, Zejun Li, Xing Chen
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist. BIBM (2022)
Lihong Peng, Feixiang Wang, Zhao Wang, Jingwei Tan, Li Huang, Xiongfei Tian, Guangyi Liu, Liqian Zhou
Cell-cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies. Briefings Bioinform. 23 (4) (2022)
Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou, Keqin Li
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Lihong Peng, Ruya Yuan, Chendi Han, Jingwei Tan, Zhao Wang, Min Chen, Xing Chen
Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data. BIBM (2022)
Ling Shen, Fuxing Liu, Li Huang, Guangyi Liu, Liqian Zhou, Lihong Peng
VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares. Comput. Biol. Medicine 140 (2022)
Hao Sun, Lihong Peng, Hongyan Zhang, Yuru He, Shuangliang Cao, Lijun Lu
Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising. IEEE Access 9 (2021)
Liqian Zhou, Zhao Wang, Xiongfei Tian, Lihong Peng
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification. BMC Bioinform. 22 (1) (2021)
Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang, Lihong Peng
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. BMC Bioinform. 22 (1) (2021)
Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao, Liqian Zhou
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification. BioData Min. 14 (1) (2021)
Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. IEEE Access 6 (2018)
Lihong Peng, Bo Liao, Wen Zhu, Zejun Li, Keqin Li
Predicting Drug-Target Interactions With Multi-Information Fusion. IEEE J. Biomed. Health Informatics 21 (2) (2017)
Bo Liao, Yan Jiang, Wei Liang, Lihong Peng, Li Peng, Damien Hanyurwimfura, Zejun Li, Min Chen
On Efficient Feature Ranking Methods for High-Throughput Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (6) (2015)
Ziheng Jiang, Ping Guo, Lihong Peng
Locality-Constrained Low-Rank Coding for Image Classification. AAAI (2014)
Kefei Wang, Heying Zhang, Lihong Peng, Baohua Fan
Improving the Adaptiveness of FAST TCP Based on the Stability with Time-Delay. TrustCom (2011)
Lihong Peng, Lipeng Liu, Shi Chen, Quanwei Sheng
A network comparison algorithm for predicting the conservative interaction regions in protein-protein interaction network. BIC-TA (2010)
Heying Zhang, Lihong Peng, Baohua Fan, Jie Jiang, Ying Zhang
Stability of FAST TCP in Single-Link Multi-source Network. CSIE (1) (2009)
Zuoyong Li, Lihong Peng
An exploration of the uncertainty relation satisfied by BP network learning ability and generalization ability. Sci. China Ser. F Inf. Sci. 47 (2) (2004)