Oncology | Pathology Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. July 22, 2023
Bioinformatics | Computational Biology | Genomics Ensemble deep learning of embeddings for clustering multimodal single-cell omics data. June 14, 2023
Bioinformatics | Medical Informatics | Oncology An Ensembled Framework for Human Breast Cancer Survivability Prediction Using Deep Learning. May 27, 2023
Bioinformatics | Deep Learning | Oncology moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks. April 26, 2023
Bioinformatics | Genomics | Machine Learning Predicting gene expression from histone modifications with self-attention based neural networks and transfer learning. January 2, 2023
Other Robust probabilistic modeling for single-cell multimodal mosaic integration and imputation via scVAEIT. December 2, 2022
Bioinformatics | Oncology | Pharmacology Deep learning and multi-omics approach to predict drug responses in cancer. November 28, 2022
Biomedical Informatics | Oncology Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network. October 3, 2022
Bioinformatics | Oncology | Systems Biology GNN-SubNet: disease subnetwork detection with explainable graph neural networks. September 20, 2022
Bioinformatics | Oncology Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. August 29, 2022
Bioinformatics | Oncology Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection. May 13, 2022
Bioinformatics | Machine Learning | Oncology A Multimodal Affinity Fusion Network for Predicting the Survival of Breast Cancer Patients. September 7, 2021