16 results on '"Chen, Chen"'
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2. AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA–disease associations identification
3. FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites
4. FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites
5. DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
6. scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
7. Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression
8. Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression
9. scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
10. MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
11. MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
12. scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder.
13. DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
14. MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks.
15. DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.
16. DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes.
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