Bioinformatics | Computational Biology | Microbiology Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network. October 4, 2023
Bioinformatics | Cell Biology | Machine Learning STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering. September 22, 2023
Bioinformatics | Neurology | Oncology Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM. September 1, 2023
Neurology | Pharmacology Identifying potential drug-target interactions based on ensemble deep learning. July 3, 2023
Bioinformatics | Machine Learning | Oncology Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data. June 26, 2023
Radiology A deep ensemble learning-based automated detection of COVID-19 using lung CT images and Vision Transformer and ConvNeXt. November 21, 2022
Artificial Intelligence | Radiology Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet. October 11, 2022
Bioinformatics | Biology | Machine Learning Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning. September 5, 2022
Bioinformatics | Computational Biology | Pharmacology Revealing Drug-Target Interactions with Computational Models and Algorithms. May 4, 2019