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系统审查中的十年:细胞绘画的演变和影响

Srijit Seal^1,2, Maria-Anna Trapotsi³, Ola Spjuth⁴

¹Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States.

bioRxiv : the preprint server for biology

|May 20, 2024

概括

细胞绘画是一种高含量成像方法,通过改进协议和分析来推进生命科学研究. 机器学习提高了它揭示药物发现和毒理学的细胞反应的能力.

科学领域:

细胞成像细胞成像
高含量选高含量的选
生命科学研究生命科学研究

背景情况:

基于图像的高含量测试在2013-2023年期间推动了生命科学方面的重大发现.
这些测试提供了有关疾病病因,药物机制和毒理学的见解.

研究的目的:

系统地审查细胞绘画的方法进步.
突出细胞绘画在生物研究中的不断扩大的应用.

主要方法:

审查细胞涂料协议的改进.
适应各种实验性扰动.
增强特征提取,质量控制和批量效应校正方法.
机器学习用于数据分析的应用.

主要成果:

方法的进步已经扩大了细胞绘画的捕捉细胞反应的能力.
机器学习方法现在在提取生物信息方面超过了经典方法.
单独或与omics数据一起的细胞涂料数据有助于理解化合物机制和毒性.

结论:

关键的进展已经扩大了细胞绘画的实用性.
未来的进展取决于计算/实验技术,新数据集和数据集成.

关键词:

细胞油漆细胞油漆药物发现药物发现药物发现高内容选高内容选机器学习机器学习行动机制行动机制有毒性有毒性

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