Bioinformatics | Computational Biology | Molecular Biology ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning. February 17, 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
Oncology | Pathology HEAL: an automated deep learning framework for cancer histopathology image analysis. May 19, 2021
Bioinformatics | Computational Biology | Infectious Diseases Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides. March 28, 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 | Infectious Diseases A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. August 19, 2020
Bioinformatics | Genetics | Molecular Biology DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites. July 1, 2020
Bioinformatics | Molecular Biology PROSPECT: A web server for predicting protein histidine phosphorylation sites. June 5, 2020
Bioinformatics | Genetics | Molecular Biology Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework. May 4, 2020