基于细胞的筛选：从复杂数据中提取意义。
Cell-based screening: extracting meaning from complex data.
作者信息
Finkbeiner Steven, Frumkin Michael, Kassner Paul D
机构信息
Director of the Taube/Koret Center for Neurodegenerative Disease and the Hellman Family Foundation Program in Alzheimer's Disease Research, Gladstone Institute of Neurological Disease, San Francisco, CA 94158, USA; Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA 94143, USA.
Director of Engineering, Research, Google, Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA.
出版信息
Neuron. 2015 Apr 8;86(1):160-74. doi: 10.1016/j.neuron.2015.02.023.
Abstract
Unbiased discovery approaches have the potential to uncover neurobiological insights into CNS disease and lead to the development of therapies. Here, we review lessons learned from imaging-based screening approaches and recent advances in these areas, including powerful new computational tools to synthesize complex data into more useful knowledge that can reliably guide future research and development.
摘要
无偏发现方法有潜力揭示中枢神经系统疾病的神经生物学见解，并推动治疗方法的开发。在此，我们回顾从基于成像的筛选方法中获得的经验教训以及这些领域的最新进展，包括强大的新计算工具，可将复杂数据综合为更有用的知识，从而可靠地指导未来的研究与开发。
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