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Use of a Machine Learning-Based High Content Analysis Approach to Identify Photoreceptor Neurite Promoting Molecules.
Fuller, John A; Berlinicke, Cynthia A; Inglese, James; Zack, Donald J.
Affiliation
  • Fuller JA; Ophthalmology, Molecular Biology & Genetics, Neuroscience, and Institute of Genetic Medicine, Wilmer Eye Institute, Johns Hopkins University School of Medicine, 400 N Broadway, Smith 3001, 21231, Baltimore, MD, USA. jfulle19@jhmi.edu.
  • Berlinicke CA; Ophthalmology, Molecular Biology & Genetics, Neuroscience, and Institute of Genetic Medicine, Wilmer Eye Institute, Johns Hopkins University School of Medicine, 400 N Broadway, Smith 3001, 21231, Baltimore, MD, USA. cdoughe1@jhmi.edu.
  • Inglese J; NCATS, NHGRI, National Institutes of Health, 9800 Medical Center Drive, MSC 3370, 20850, Rockville, MD, USA. jinglese@mail.nih.gov.
  • Zack DJ; Ophthalmology, Molecular Biology & Genetics, Neuroscience, and Institute of Genetic Medicine, Wilmer Eye Institute, Johns Hopkins University School of Medicine, 400 N Broadway, Smith 3001, 21231, Baltimore, MD, USA. donzack@gmail.com.
Adv Exp Med Biol ; 854: 597-603, 2016.
Article in En | MEDLINE | ID: mdl-26427464

Full text: 1 Database: MEDLINE Main subject: Algorithms / Neurites / Photoreceptor Cells, Vertebrate / Cell Tracking / Machine Learning Type of study: Prognostic_studies Limits: Animals Language: En Journal: Adv Exp Med Biol Year: 2016 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Algorithms / Neurites / Photoreceptor Cells, Vertebrate / Cell Tracking / Machine Learning Type of study: Prognostic_studies Limits: Animals Language: En Journal: Adv Exp Med Biol Year: 2016 Type: Article Affiliation country: United States