Bioinformatics | Computational Biology SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features. June 13, 2024
Artificial Intelligence | Computer Vision | Radiology CODENET: A deep learning model for COVID-19 detection. March 6, 2024
Bioinformatics | Genetics H2Opred: a robust and efficient hybrid deep learning model for predicting 2′-O-methylation sites in human RNA. January 5, 2024
Bioinformatics | Computational Biology Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach. December 7, 2023
Bioinformatics | Molecular Biology Identification of SH2 domain-containing proteins and motifs prediction by a deep learning method. June 2, 2023
Bioinformatics | Genomics A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome. April 6, 2023
Dermatology | Infectious Diseases | Medical Imaging MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. February 27, 2023
Bioinformatics | Machine Learning | Pharmacology SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. December 23, 2022
Bioinformatics | Drug Development | Machine Learning | Virology iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model. June 30, 2022
Bioinformatics | Computational Biology | Genetics Deepm5C: A deep learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy. May 8, 2022
Bioinformatics | Computational Biology | Pharmacology Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening. January 10, 2020