Lihong Peng

Orcid: 0000-0002-2321-3901

According to our database1, Lihong Peng authored at least 25 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis.
IEEE J. Biomed. Health Informatics, January, 2024

MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism.
J. Chem. Inf. Model., 2024

Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.
Comput. Biol. Medicine, 2024

Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer.
Biomed. Signal Process. Control., 2024

2023
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering.
Comput. Biol. Medicine, November, 2023

Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.
Comput. Biol. Medicine, September, 2023

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., March, 2023

2022
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares.
Comput. Biol. Medicine, 2022

Cell-cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies.
Briefings Bioinform., 2022

Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification.
BMC Bioinform., 2021

LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.
BMC Bioinform., 2021

LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification.
BioData Min., 2021

Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising.
IEEE Access, 2021

2018
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC.
IEEE Access, 2018

2017
Predicting Drug-Target Interactions With Multi-Information Fusion.
IEEE J. Biomed. Health Informatics, 2017

2015
On Efficient Feature Ranking Methods for High-Throughput Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2014
Locality-Constrained Low-Rank Coding for Image Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2011
Improving the Adaptiveness of FAST TCP Based on the Stability with Time-Delay.
Proceedings of the IEEE 10th International Conference on Trust, 2011

2010
A network comparison algorithm for predicting the conservative interaction regions in protein-protein interaction network.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Stability of FAST TCP in Single-Link Multi-source Network.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2004
An exploration of the uncertainty relation satisfied by BP network learning ability and generalization ability.
Sci. China Ser. F Inf. Sci., 2004


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