Bioinformatics | Computational Biology | Oncology A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks. August 4, 2023
Computational Biology | Genetics HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction. August 4, 2023
Bioinformatics | Computational Biology CoCoNat: a novel method based on deep-learning for coiled-coil prediction. August 4, 2023
Bioinformatics | Computational Biology | Genomics Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP. August 3, 2023
Bioinformatics | Computational Biology | Genetics XGDAG: eXplainable Gene-Disease Associations via Graph Neural Networks. August 2, 2023
Bioinformatics | Chemistry | Computational Biology Computational prediction of ω-transaminase selectivity by deep learning analysis of molecular dynamics trajectories. August 2, 2023
Bioinformatics | Computational Biology | Pharmaceutical Sciences DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction. August 1, 2023
Bioinformatics | Computational Biology | Genomics scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning. July 31, 2023
Bioinformatics | Computational Biology | Molecular Biology Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications. July 29, 2023
Bioinformatics | Computational Biology Contextualizing protein representations using deep learning on protein networks and single-cell data. July 28, 2023
Bioinformatics | Computational Biology | Genomics BuDDI: to predict cell-type-specific perturbations from bulk. July 28, 2023
Bioinformatics | Computational Biology | Statistics A comprehensive assessment of hurdle and zero-inflated models for single cell RNA-sequencing analysis. July 28, 2023