Bioinformatics | Genetics | Molecular Biology DiCleave: a deep learning model for predicting human Dicer cleavage sites. January 9, 2024
Bioinformatics | Cancer Genomics | Deep Learning SMG: self-supervised masked graph learning for cancer gene identification. November 11, 2023
Bioinformatics | Computational Biology | Microbiology iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities. June 27, 2023
Bioinformatics | Computational Biology ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning. March 7, 2023
Bioinformatics | Computational Biology | Proteomics PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships. February 16, 2023
Bioinformatics | Computational Biology | Proteomics Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADEL. June 13, 2022
Bioinformatics | Computational Biology | Genetics Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. January 12, 2022
Bioinformatics | Protein Engineering Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations. May 31, 2021
Bioinformatics iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. March 4, 2021
Bioinformatics | Computational Biology | Genetics Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks. November 23, 2020
Bioinformatics | Microbiology DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases. November 19, 2020
Bioinformatics | Computational Biology | Microbiology DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy. June 29, 2020