Bioinformatics | Computational Biology | Pharmacology A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond. May 13, 2024
Other A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches. February 22, 2024
Bioinformatics | Computational Biology DeepCellEss: Cell line-specific essential protein prediction with attention-based interpretable deep learning. December 2, 2022
Bioinformatics | Computational Biology | Genetics A deep learning framework for predicting protein functions with co-occurrence of GO terms. April 27, 2022
Other DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. December 14, 2021
Bioinformatics | Computational Biology | Genetics DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. September 9, 2021
Bioinformatics | Computational Biology SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning. May 10, 2020
Bioinformatics | Computational Biology | Genetics A deep learning framework for gene ontology annotations with sequence – and network-based information. January 27, 2020
Bioinformatics | Computational Biology Protein-protein interaction site prediction through combining local and global features with deep neural networks. October 8, 2019
Bioinformatics | Computational Biology | Molecular Biology DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions. April 3, 2019