Bioinformatics | Computational Biology | Molecular Biology Improved prediction of DNA and RNA binding proteins with deep learning models. June 10, 2024
Bioinformatics | Genetics | Molecular Biology Deep Learning for Elucidating Modifications to RNA-Status and Challenges Ahead. May 25, 2024
Bioinformatics | Computational Biology RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes. April 25, 2024
Bioinformatics | Molecular Biology DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structures. January 26, 2024
Bioinformatics | Molecular Biology Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes. October 27, 2023
Bioinformatics | Functional Genomics | Genetics Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. October 26, 2023
Bioinformatics | Computational Biology A systematic benchmark of machine learning methods for protein-RNA interaction prediction. August 28, 2023
Bioinformatics | Molecular Biology HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence. July 8, 2023
Bioinformatics | Computational Biology | Plant Biology RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features. May 9, 2023
Bioinformatics | Biomedical Engineering | Computational Biology CRMSNet: a deep learning model that uses convolution and residual multi-head self-attention block to predict RBPs for RNA sequence. March 20, 2023
Bioinformatics | Genomics | Virology A computational map of the human-SARS-CoV-2 protein-RNA interactome predicted at single-nucleotide resolution. February 23, 2023