Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE) - Ma, Tianle; Zhang, Aidong (BMC genomics, 2019)
Keywords: Algorithms; Autoencoder; Bias; Biochemistry; Biological interaction networks; Biomedical data; Cancer; Clustering; Criminal investigation; Data analysis; Data integration; Data Mining; Databases, Genetic; Deep learning; Deoxyribonucleic acid; DNA; DNA methylation; Domains; Factorization; Gene expression; Genes; Genomics; Humans; Knowledge; Knowledge Bases; Learning algorithms; Learning strategies; Machine Learning; Methylation; MicroRNA; Mining industry; miRNA; Models, Biological; Molecular interactions; Multi-omics data; Multi-view learning; Natural language processing; Neoplasms - genetics; Neoplasms - mortality; Neoplasms - pathology; Networks; Patients; Proteins; Regularization; Representations; Ribonucleic acid; RNA; Systems Biology - methods; Training; Deep learning; Graph regularization; Autoencoder; Multi-omics data; Data integration; Biological interaction networks; Multi-view learning