Bioinformatics | Oncology AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification. May 26, 2024
Bioinformatics | Genetics | Oncology CancerGATE: Prediction of cancer-driver genes using graph attention autoencoders. May 14, 2024
Bioinformatics | Oncology | Precision Medicine Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction. April 13, 2024
Bioinformatics | Computational Biology | Oncology Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning. March 28, 2024
Bioinformatics | Oncology Classifying breast cancer using multi-view graph neural network based on multi-omics data. March 6, 2024
Bioinformatics | Oncology Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping. March 1, 2024
Bioinformatics | Oncology A prognostic prediction model for ovarian cancer using a cross-modal view correlation discovery network. February 2, 2024
Bioinformatics | Oncology Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data. January 5, 2024
Bioinformatics | Oncology | Precision Medicine Using graph-based model to identify cell specific synthetic lethal effects. November 3, 2023
Bioinformatics | Computational Biology Deep Learning Methods for Omics Data Imputation. October 27, 2023
Bioinformatics | Molecular Biology | Pulmonology GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype. September 23, 2023
Bioinformatics | Data Science | Genomics scMIC: A Deep Multi-level Information Fusion Framework for Clustering Single-cell Multi-omics Data. September 19, 2023