Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data - Takahashi, Satoshi; Asada, Ken; Takasawa, Ken; Shimoyama, Ryo; Sakai, Akira; Bolatkan, Amina; Shinkai, Norio; Kobayashi, Kazuma; Komatsu, Masaaki; Kaneko, Syuzo; Sese, Jun; Hamamoto, Ryuji (Biomolecules (Basel, Switzerland), 2020)
Keywords: Datasets; Deep learning; deep learning and machine learning; DNA methylation; Genomes; Integration; Learning algorithms; Lung cancer; Machine learning; Mortality; multi-omics analysis; Mutation; Non-small cell lung carcinoma; Physiological aspects; Prognosis; Protein arrays; Risk groups; Small cell lung carcinoma; Japan; East Asia; lung cancer; deep learning and machine learning; multi-omics analysis