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Frontiers in Genetics
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November 22, 2018
BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network
Xiaofang Xiao, Wen Zhu, Bo Liao, et al.
Scientific Reports
|
March 19, 2021
Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures
Lihong Peng, Ling Shen, Junlin Xu, et al.
Biotechnology Advances
|
January 21, 2026
Computational methods for spatial multi-omics integration
Aoyun Geng, Chunyan Cui, Zhenjie Luo, et al.
Journal of Molecular Biology
|
March 30, 2025
PLPTP: A Motif-based Interpretable Deep Learning Framework Based on Protein Language Models for Peptide Toxicity Prediction
Shun Gao, Yanna Jia, Feifei Cui, et al.
Analytical Biochemistry
|
June 4, 2025
NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning
Jian Liu, Aoyun Geng, Feifei Cui, et al.
Biotechnology Advances
|
February 2, 2026
Computational methods for signal peptide prediction: From statistical models to deep learning
Qianmao Wen, Xinyu Li, Jiaxing Song, et al.
International Journal of Biological Macromolecules
|
March 24, 2025
CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network
Chaorui Yan, Zilong Zhang, Junlin Xu, et al.
Journal of Chemical Information and Modeling
|
January 8, 2026
Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features
Guanjie Song, Zhenjie Luo, Aoyun Geng, et al.
BMC Bioinformatics
|
January 8, 2025
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xianfang Tang, Yawen Hou, Yajie Meng, et al.
Molecular Diversity
|
December 11, 2025
AFP-GFuse: an antifungal peptide identification model with structural information fusion via multi-graph neural networks and cross-attention mechanism
Xiaomeng Lin, Ruiqi Liu, Aoyun Geng, et al.
Page
of 9
Search research articles
Search
Showing results (41-50 of 81) with videos related to
Sort By:
Page
of 9
Frontiers in Genetics
|
November 22, 2018
BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network
Xiaofang Xiao, Wen Zhu, Bo Liao, et al.
Scientific Reports
|
March 19, 2021
Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures
Lihong Peng, Ling Shen, Junlin Xu, et al.
Biotechnology Advances
|
January 21, 2026
Computational methods for spatial multi-omics integration
Aoyun Geng, Chunyan Cui, Zhenjie Luo, et al.
Journal of Molecular Biology
|
March 30, 2025
PLPTP: A Motif-based Interpretable Deep Learning Framework Based on Protein Language Models for Peptide Toxicity Prediction
Shun Gao, Yanna Jia, Feifei Cui, et al.
Analytical Biochemistry
|
June 4, 2025
NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning
Jian Liu, Aoyun Geng, Feifei Cui, et al.
Biotechnology Advances
|
February 2, 2026
Computational methods for signal peptide prediction: From statistical models to deep learning
Qianmao Wen, Xinyu Li, Jiaxing Song, et al.
International Journal of Biological Macromolecules
|
March 24, 2025
CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network
Chaorui Yan, Zilong Zhang, Junlin Xu, et al.
Journal of Chemical Information and Modeling
|
January 8, 2026
Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features
Guanjie Song, Zhenjie Luo, Aoyun Geng, et al.
BMC Bioinformatics
|
January 8, 2025
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xianfang Tang, Yawen Hou, Yajie Meng, et al.
Molecular Diversity
|
December 11, 2025
AFP-GFuse: an antifungal peptide identification model with structural information fusion via multi-graph neural networks and cross-attention mechanism
Xiaomeng Lin, Ruiqi Liu, Aoyun Geng, et al.
Page
of 9