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IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network
Yan Liu, Guo Wei, Jia-Shun Wu, et al.
Briefings in Bioinformatics
|
December 18, 2022
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Fang Ge, Chen Li, Shahid Iqbal, et al.
Genome Biology
|
February 12, 2026
A geometric deep learning framework for genome-wide prediction of enzyme turnover number
Tong Pan, Xin Cui, Huan Yee Koh, et al.
International Journal of Molecular Sciences
|
July 13, 2024
Inference of Essential Genes of the Parasite <i>Haemonchus contortus</i> via Machine Learning
Túlio L Campos, Pasi K Korhonen, Neil D Young, et al.
Nature Methods
|
December 17, 2025
High-parameter spatial multi-omics through histology-anchored integration
Yonghao Liu, Chuyao Wang, Zhikang Wang, et al.
Bioinformatics (Oxford, England)
|
May 19, 2021
HEAL: an automated deep learning framework for cancer histopathology image analysis
Yanan Wang, Nicolas Coudray, Yun Zhao, et al.
Genomics, Proteomics & Bioinformatics
|
May 16, 2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
Fuyi Li, Andre Leier, Quanzhong Liu, et al.
Bioinformatics (Oxford, England)
|
October 26, 2017
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Jiangning Song, Fuyi Li, André Leier, et al.
Antibiotics (Basel, Switzerland)
|
March 25, 2022
Polymyxin Induces Significant Transcriptomic Perturbations of Cellular Signalling Networks in Human Lung Epithelial Cells
Mengyao Li, Mohammad A K Azad, Maizbha U Ahmed, et al.
Genomics, Proteomics & Bioinformatics
|
December 26, 2025
Unveiling Tissue Structure and Tumor Microenvironment from Spatial Omics by Hypergraph Learning
Yi Liao, Chong Zhang, Zhikang Wang, et al.
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Search research articles
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Showing results (231-240 of 317) with videos related to
Sort By:
Page
of 32
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network
Yan Liu, Guo Wei, Jia-Shun Wu, et al.
Briefings in Bioinformatics
|
December 18, 2022
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Fang Ge, Chen Li, Shahid Iqbal, et al.
Genome Biology
|
February 12, 2026
A geometric deep learning framework for genome-wide prediction of enzyme turnover number
Tong Pan, Xin Cui, Huan Yee Koh, et al.
International Journal of Molecular Sciences
|
July 13, 2024
Inference of Essential Genes of the Parasite <i>Haemonchus contortus</i> via Machine Learning
Túlio L Campos, Pasi K Korhonen, Neil D Young, et al.
Nature Methods
|
December 17, 2025
High-parameter spatial multi-omics through histology-anchored integration
Yonghao Liu, Chuyao Wang, Zhikang Wang, et al.
Bioinformatics (Oxford, England)
|
May 19, 2021
HEAL: an automated deep learning framework for cancer histopathology image analysis
Yanan Wang, Nicolas Coudray, Yun Zhao, et al.
Genomics, Proteomics & Bioinformatics
|
May 16, 2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
Fuyi Li, Andre Leier, Quanzhong Liu, et al.
Bioinformatics (Oxford, England)
|
October 26, 2017
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Jiangning Song, Fuyi Li, André Leier, et al.
Antibiotics (Basel, Switzerland)
|
March 25, 2022
Polymyxin Induces Significant Transcriptomic Perturbations of Cellular Signalling Networks in Human Lung Epithelial Cells
Mengyao Li, Mohammad A K Azad, Maizbha U Ahmed, et al.
Genomics, Proteomics & Bioinformatics
|
December 26, 2025
Unveiling Tissue Structure and Tumor Microenvironment from Spatial Omics by Hypergraph Learning
Yi Liao, Chong Zhang, Zhikang Wang, et al.
Page
of 32