Bioinformatics | Computational Biology A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites. August 21, 2023
Bioinformatics | Computational Biology | Genomics Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism. August 20, 2023
Bioinformatics | Computational Biology DeepAFP: an effective computational framework for identifying antifungal peptides based on deep learning. August 18, 2023
Computational Biology | Evolutionary Biology ModelRevelator: Fast phylogenetic model estimation via deep learning. August 18, 2023
Bioinformatics | Computational Biology | Genomics A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks. August 17, 2023
Bioinformatics | Computational Biology Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes. August 15, 2023
Bioinformatics | Computational Biology | Genomics Continuous lifelong learning for modeling of gene regulation from single cell multiome data by leveraging atlas-scale external data. August 14, 2023
Bioinformatics | Computational Biology The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data. August 12, 2023
Computational Biology | Evolutionary Biology Deep Learning from Phylogenies for Diversification Analyses. August 9, 2023
Bioinformatics | Computational Biology | Oncology A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment. August 7, 2023
Bioinformatics | Computational Biology | Protein Engineering Transfer learning to leverage larger datasets for improved prediction of protein stability changes. August 7, 2023
Bioinformatics | Computational Biology Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning. August 4, 2023