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Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets.
Patil, Abhijeet R; Schug, Jonathan; Liu, Chengyang; Lahori, Deeksha; Descamps, Hélène C; Naji, Ali; Kaestner, Klaus H; Faryabi, Robert B; Vahedi, Golnaz.
Afiliación
  • Patil AR; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman Sch
  • Schug J; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman
  • Liu C; Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
  • Lahori D; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman
  • Descamps HC; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman
  • Naji A; Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Surgery, University of P
  • Kaestner KH; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman
  • Faryabi RB; Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, University of
  • Vahedi G; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Epigenetics Institute, University of Pennsylvania Perelman Sch
Cell Rep Med ; 5(5): 101535, 2024 May 21.
Article en En | MEDLINE | ID: mdl-38677282
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Progresión de la Enfermedad / Diabetes Mellitus Tipo 1 / Análisis de la Célula Individual / Transcriptoma / Aprendizaje Automático Límite: Adult / Female / Humans / Male Idioma: En Revista: Cell Rep Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Progresión de la Enfermedad / Diabetes Mellitus Tipo 1 / Análisis de la Célula Individual / Transcriptoma / Aprendizaje Automático Límite: Adult / Female / Humans / Male Idioma: En Revista: Cell Rep Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos