EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics - Hench, Jürgen; Hultschig, Claus; Brugger, Jon; Mariani, Luigi; Guzman, Raphael; Soleman, Jehuda; Leu, Severina; Benton, Miles; Stec, Irenäus Maria; Hench, Ivana Bratic; Hoffmann, Per; Harter, Patrick; et al. (Acta neuropathologica communications, 2024)
Keywords: Algorithms; Artificial intelligence; Biomedical and Life Sciences; Biomedicine; Biopsy; Brain cancer; Classification; Cloud Computing; Computer peripherals; Data mining; Digital pathology; DNA Methylation; DNA sequencing; Edge computing; Energy conservation; Epigenetic inheritance; Epigenetics; Epigenomics; Genetic testing; Genomes; Genomics; Humans; Internet service providers; Laboratories; Machine learning; Methodology; Methodology Article; Methylation; Methylome; Neoplasms - diagnosis; Neoplasms - genetics; Neurology; Neurosciences; Nucleotide sequencing; Oncology; Pathology; Protocol; Software; Tumors; Tumour; Unsupervised Machine Learning; United States--US; Germany; UMAP; Same-day classification; SoC; Oncology; Intraoperative; Microarray; Edge computing; Digital pathology; Unsupervised machine learning; Dimension reduction; Copy number profiling; Nanopore sequencing; Epigenetics; Cryptocurrency miner; Methylome; Methylation sequencing; Tumour; Methylation; gpGPU; Artificial intelligence