Bioinformatics | Drug Development | Oncology A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction. May 5, 2022
Chemistry | Drug Discovery | Pharmacology Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding. May 3, 2022
Bioinformatics | Genetics | Oncology Accurate and highly interpretable prediction of gene expression from histone modifications. April 27, 2022
Bioinformatics | Epidemiology | Infectious Diseases AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning. April 26, 2022
Internal Medicine | Pulmonology Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. April 20, 2022
Bioinformatics | Computational Biology DISTEMA: distance map-based estimation of single protein model accuracy with attentive 2D convolutional neural network. April 20, 2022
Medical Informatics Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution. April 16, 2022
Chemical Biology | Drug Discovery Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means. April 16, 2022
Biomedical Research | Natural Language Processing Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction. April 5, 2022
Bioinformatics | Computational Biology A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. March 23, 2022
Bioinformatics | Proteomics Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation. March 23, 2022