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Computational Biology and Chemistry
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May 16, 2024
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network
Pengli Lu, Jicheng Jiang
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
ICDNSGA: Identification of Potential circRNA-Disease Associations Based on Improved Non-Dominated Sorting Genetic Algorithm
Yuehao Wang, Pengli Lu
Interdisciplinary Sciences, Computational Life Sciences
|
August 7, 2024
Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks
Wenzhi Liu, Pengli Lu
IEEE/ACM Transactions on Computational Biology and Bioinformatics
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May 24, 2024
RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network
Pengli Lu, Yuehao Wang
Computational Biology and Chemistry
|
February 29, 2024
MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism
Pengli Lu, Ling Li
Artificial Intelligence in Medicine
|
May 30, 2025
ICD code mapping model based on clinical text tree structure
Jingjin Xue, Pengli Lu
Interdisciplinary Sciences, Computational Life Sciences
|
June 13, 2025
MOPSOGAT: Predicting CircRNA-Disease Associations via Improved Multi-objective Particle Swarm Optimization and Graph Attention Network
Yuehao Wang, Pengli Lu
Computational Biology and Chemistry
|
September 10, 2024
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations
Xu Cao, Pengli Lu
Computational Biology and Chemistry
|
June 12, 2024
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins
Pengli Lu, Jialong Tian
Computational Biology and Chemistry
|
May 5, 2024
GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network
Yuehao Wang, Pengli Lu
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of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Computational Biology and Chemistry
|
May 16, 2024
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network
Pengli Lu, Jicheng Jiang
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
ICDNSGA: Identification of Potential circRNA-Disease Associations Based on Improved Non-Dominated Sorting Genetic Algorithm
Yuehao Wang, Pengli Lu
Interdisciplinary Sciences, Computational Life Sciences
|
August 7, 2024
Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks
Wenzhi Liu, Pengli Lu
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
May 24, 2024
RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network
Pengli Lu, Yuehao Wang
Computational Biology and Chemistry
|
February 29, 2024
MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism
Pengli Lu, Ling Li
Artificial Intelligence in Medicine
|
May 30, 2025
ICD code mapping model based on clinical text tree structure
Jingjin Xue, Pengli Lu
Interdisciplinary Sciences, Computational Life Sciences
|
June 13, 2025
MOPSOGAT: Predicting CircRNA-Disease Associations via Improved Multi-objective Particle Swarm Optimization and Graph Attention Network
Yuehao Wang, Pengli Lu
Computational Biology and Chemistry
|
September 10, 2024
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations
Xu Cao, Pengli Lu
Computational Biology and Chemistry
|
June 12, 2024
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins
Pengli Lu, Jialong Tian
Computational Biology and Chemistry
|
May 5, 2024
GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network
Yuehao Wang, Pengli Lu
Page
of 3