Bioinformatics | Computational Biology | Genomics Fast and Efficient Design of Deep Neural Networks for Predicting N-Methylguanosine Sites Using autoBioSeqpy. June 12, 2023
Genomics | Oncology Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease. June 9, 2023
Biomedical Research | Genomics | Transcriptomics MTM: a multi-task learning framework to predict individualized tissue gene expression profiles. June 6, 2023
Bioinformatics | Genomics Epiphany: predicting Hi-C contact maps from 1D epigenomic signals. June 6, 2023
Bioinformatics | Genomics i4mC-GRU: Identifying DNA N-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features. June 5, 2023
Genomics | Neurology Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges. June 1, 2023
Bioinformatics | Genomics RFcaller: a machine learning approach combined with read-level features to detect somatic mutations. June 1, 2023
Bioinformatics | Genomics | Pathology DCiPatho: deep cross-fusion networks for genome scale identification of pathogens. May 30, 2023
Conservation Biology | Genomics | Machine Learning Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations. May 29, 2023
Genomics | Oncology A Deep Learning Approach for Prognostic Evaluation of Lung Adenocarcinoma Based on Cuproptosis-Related Genes. May 27, 2023
Bioinformatics | Genomics | Oncology Epigenetic and Tumor Microenvironment for Prognosis of Patients with Gastric Cancer. May 27, 2023