DeepNEU: Cellular reprogramming comes of age - A machine learning platform with application to rare diseases research

Orphanet Journal of Rare Diseases

Volumn 14, Issue 1, 2019, Pages

  Danter, Wayne R ^a  

^a 123Genetix ^*  (Canada)

Author keywords

Cellular reprogramming; iPSCs; Machine learning; Neutrosophic and fuzzy cognitive maps; Recurrent neural network; RNN

Indexed keywords

TRANSCRIPTION FACTOR;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CARDIAC MUSCLE CELL; COST EFFECTIVENESS ANALYSIS; DEEPNEU MACHINE LEARNING; DISEASE MODEL; GENE EXPRESSION; HUMAN; INDUCED PLURIPOTENT STEM CELL; MACHINE LEARNING; NUCLEAR REPROGRAMMING; PREDICTION; RARE DISEASE; RETT SYNDROME; SIMULATION; UNSUPERVISED MACHINE LEARNING; UPREGULATION; CELL DIFFERENTIATION; CYTOLOGY; FIBROBLAST; GENETICS; METABOLISM; NERVE CELL; PHYSIOLOGY;

CELL DIFFERENTIATION; CELLULAR REPROGRAMMING; FIBROBLASTS; HUMANS; INDUCED PLURIPOTENT STEM CELLS; MACHINE LEARNING; MYOCYTES, CARDIAC; NEURONS; RARE DISEASES; RETT SYNDROME;

EID: 85059828980     PISSN: None     EISSN: 17501172     Source Type: Journal    
DOI: 10.1186/s13023-018-0983-3     Document Type: Article

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