Oncology ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization. March 15, 2024
Bioinformatics | Computational Biology | RNA Biology GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning. March 2, 2024
Artificial Intelligence | Drug Discovery | Molecular recognition OCMR: A comprehensive framework for optical chemical molecular recognition. July 2, 2023
Bioinformatics | Computational Biology | Machine Learning EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species. May 17, 2023
Dermatology AcneTyper: An automatic diagnosis method of dermoscopic acne image via self-ensemble and stacking. January 9, 2023
Bioinformatics | Drug Development | Pharmacology Improving target-disease association prediction through a graph neural network with credibility information. December 21, 2022
Bioinformatics | Immunology | Oncology HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction. October 10, 2022
Dermatology AcneGrader: An ensemble pruning of the deep learning base models to grade acne. May 31, 2022
Bioinformatics | Drug Discovery | Pharmacology FMGNN: A method to predict compound- protein interaction with pharmacophore features and physicochemical properties of amino acids. May 3, 2022
Chemistry | Computational Biology | Machine Learning Describe Molecules by a Heterogeneous Graph Neural Network with Transformer-like Attention for Supervised Property Predictions. February 7, 2022
Biomedical Research | Cancer Research | Pathway Analysis Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways. November 16, 2018
Bioinformatics | Computational Biology Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. October 8, 2018