Bioinformatics | Computational Biology | Genetics DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features. February 21, 2024
Bioinformatics | Molecular Biology MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features. February 15, 2024
Artificial Intelligence | Bioinformatics | Pharmacology SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction. January 23, 2024
Bioinformatics | Molecular Biology DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features. November 6, 2023
Bioinformatics | Genetics IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions. July 4, 2023
Drug Discovery | Protein Design | Protein structure prediction Improved model quality assessment using sequence and structural information by enhanced deep neural networks. December 2, 2022
Bioinformatics | Computational Biology | Molecular Biology An improved residual network using deep fusion for identifying RNA 5-Methylcytosine sites. July 22, 2022
Bioinformatics | Cell Biology | Computational Biology | Proteomics Boosting phosphorylation site prediction with sequence feature-based machine learning. August 22, 2019
Bioinformatics | Genomics Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features. November 14, 2018