Bioinformatics | Computational Biology | Oncology Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction. January 26, 2023
Genetics | Oncology The frequency of somatic mutations in cancer predicts the phenotypic relevance of germline mutations. January 26, 2023
Molecular Biology | Oncology | Pulmonology Pan-cancer analysis identifies proteasome 26S subunit, ATPase (PSMC) family genes, and related signatures associated with prognosis, immune profile, and therapeutic response in lung adenocarcinoma. January 26, 2023
Bioinformatics | Biomedical Informatics | Genetics | Pharmacology Machine learning in the development of targeting microRNAs in human disease. January 23, 2023
Oncology | Radiology Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach. January 23, 2023
Bioinformatics | Machine Learning | Oncology A classification method of gastric cancer subtype based on residual graph convolution network. January 23, 2023
Oncology | Pathology Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network. January 23, 2023
Bioinformatics | Oncology SADLN: Self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition. January 23, 2023
Bioinformatics | Immunotherapy | Machine Learning | Vaccine Development Hybrid gMLP model for interaction prediction of MHC-peptide and TCR. January 23, 2023
Bioinformatics | Genomics | Machine Learning Predicting gene expression from histone modifications with self-attention based neural networks and transfer learning. January 2, 2023
Bioinformatics | Computational Biology | Genomics Benchmarking automated cell type annotation tools for single-cell ATAC-seq data. December 30, 2022
Bioinformatics | Computational Biology | Genomics Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks. December 26, 2022