Cardiology | Network Biology | Rare Diseases | Transcriptomics Transfer learning enables predictions in network biology. May 31, 2023
Genomics | Metabolomics | Precision Medicine | Proteomics | Transcriptomics Multi-omics profiling for health. April 29, 2023
Nephrology | Toxicology | Transcriptomics Early transcriptomic signatures and biomarkers of renal damage due to prolonged exposure to embedded metal. April 14, 2023
Bioinformatics | Pharmacology | Transcriptomics HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development. February 13, 2023
Oncology | Transcriptomics Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions. October 17, 2022
Bioinformatics | Computational Biology | Transcriptomics Computational solutions for spatial transcriptomics. September 23, 2022
Bioinformatics | Genomics | Transcriptomics A comprehensive comparison on cell-type composition inference for spatial transcriptomics data. June 26, 2022
Respiratory Medicine | Transcriptomics | Virology Augmentation of Transcriptomic Data for Improved Classification of Patients with Respiratory Diseases of Viral Origin. March 10, 2022
Biomedicine | RNA Biology | Transcriptomics Drug target inference by mining transcriptional data using a novel graph convolutional network framework. October 22, 2021
Genomics | Transcriptomics Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits. May 28, 2021
Bioinformatics | Machine Learning | Transcriptomics Verifying explainability of a deep learning tissue classifier trained on RNA-seq data. January 30, 2021
Drug-induced liver injury (DILI) | Pharmacology | Transcriptomics Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. December 17, 2020