Cell-Based Screening: Extracting Meaning from Complex Data

doi:10.1016/j.neuron.2015.02.023

2015-04-01

Steven Finkbeiner *

Michael Frumkin

Paul D. Kassner

DOI：10.1016/j.neuron.2015.02.023

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摘要

En 中文

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.

Keyword:

PLURIPOTENT STEM-CELLS

INCLUSION-BODY FORMATION

ADULT HUMAN FIBROBLASTS

WIDE RNAI SCREEN

DIRECTED DIFFERENTIATION

AUTOMATIC IDENTIFICATION

FLUORESCENT PROTEINS

HUNTINGTONS-DISEASE

SPECIES-DIFFERENCES

FUNCTIONAL-NEURONS

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

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Neuron

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被引数:

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the j david gladstone institutes

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640

论文数: 392

被引数: 0

university of california san francisco

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5.3W

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被引数: 67

University of California System

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37.5W

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被引数: 6.6K

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