Bioinformatics | Structural Biology GCmapCrys: Integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction. December 15, 2022
Bioinformatics | Computational Biology | Genetics Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding. September 1, 2022
Bioinformatics | Proteomics Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. August 26, 2022
Bioinformatics | Computational Biology Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network. August 25, 2022
Bioinformatics | Computational Biology PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data. June 30, 2022
Bioinformatics | Computational Biology | Structural Biology Deep learning geometrical potential for high-accuracy protein structure prediction. June 6, 2022
Bioinformatics | Computational Biology CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. January 19, 2022
Bioinformatics | Computational Biology | Genetics Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion. December 25, 2021
Bioinformatics | Genomics | Molecular Biology MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. October 19, 2021
Bioinformatics | Genomics | Molecular Biology Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites. August 30, 2021
Bioinformatics | Protein structure prediction Protein inter-residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14. August 12, 2021
Bioinformatics | Pathology PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection. August 2, 2021