Bioinformatics | Deep Learning | Oncology AACFlow: An end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides. March 7, 2024
Bioinformatics | Molecular Biology TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites. December 13, 2023
Bioinformatics | Immunology | Oncology DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites. February 5, 2023
Bioinformatics | Infectious Diseases | Microbiology PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit. November 18, 2022
Bioinformatics | Computational Biology | Genetics R5hmCFDV: computational identification of RNA 5-hydroxymethylcytosine based on deep feature fusion and deep voting. October 10, 2022
Bioinformatics | Computational Biology | Molecular Biology An improved residual network using deep fusion for identifying RNA 5-Methylcytosine sites. July 22, 2022
Bioinformatics | Structural Biology Accounting Conformational Dynamics into Structural Modeling Reflected by Cryo-EM with Deep Learning. May 16, 2022
Bioinformatics | Cardiology Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit. April 27, 2022
Bioinformatics | Computational Biology | Genetics iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength. January 17, 2022
Computer Science | Network Engineering | Telecommunications Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks. April 16, 2019