Bioinformatics | Computational Biology SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model. February 8, 2024
Bioinformatics | Computational Biology | Proteomics UniSpec: Deep Learning for Predicting the Full Range of Peptide Fragment Ion Series to Enhance the Proteomics Data Analysis Workflow. February 8, 2024
Bioinformatics | Computational Biology | Genomics | Proteomics Revolutionizing protein-protein interaction prediction with deep learning. February 8, 2024
Computational Biology | Neuroscience Attractor neural networks with double well synapses. February 7, 2024
Bioinformatics | Computational Biology | Molecular Biology Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations. February 7, 2024
Bioinformatics | Computational Biology | Spatial transcriptomics Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics. February 7, 2024
Computational Biology | Pharmacology | Toxicology Computational models for predicting liver toxicity in the deep learning era. February 5, 2024
Bioinformatics | Computational Biology | Molecular Biology DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localisation with domain-specific transfer-learning. February 5, 2024
Bioinformatics | Computational Biology AGImpute: Imputation of scRNA-seq data based on a hybrid GAN with dropouts identification. February 5, 2024
Bioinformatics | Computational Biology | Drug Discovery DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model. February 5, 2024
Bioinformatics | Computational Biology | Medical Informatics Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs. February 2, 2024
Bioinformatics | Computational Biology | Molecular Biology NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning. February 2, 2024