颜色编码液滴阵列的机器学习解码及其在多重数字化核酸分析中的应用OA北大核心CSTPCD
Machine Learning Enabled Decoding of Color-coded Droplet Arrays and Its Application in Multiplex Digital Nucleic Acid Analysis
为了解决数字化核酸分析的通量限制问题,在三原色组合液滴编码技术基础上,本研究发展了一种基于机器学习的颜色编码液滴阵列自动化解码方法.此方法借助机器学习赋予计算机程序自动获取液滴颜色-位置-数量信息的能力,通过关联核酸扩增前后液滴颜色-位置-数量信息,快速确定每种检测靶标对应的阳性液滴比例.将这种液滴解码策略用于多重数字化核酸分析,实验结果表明,本方法快速、准确,其解码流程可在2 min内完成,液滴识别准确率＞99%.基于此液滴解码方法获得的核酸定…查看全部>>
To address the throughput limitations of digital nucleic acid analysis,a tricolor combination-based droplet coding technique was developed to achieve multiplex digital nucleic acid analysis with flexible throughput expansibility.To improve the analysis efficiency,a machine learning-based method was further developed for automatic decoding of color-coded droplet array.The machine learning algorithm empowered the computer program to automatically extract the c…查看全部>>
刘云帆;蔡东洋
桂林电子科技大学数学与计算科学学院,桂林 541004华南理工大学附属第二医院检验科,广州 510180
机器学习液滴编码解码多重数字化核酸分析
Machine learningDropletCodingDecodingMultiplex digital nucleic acid analysis
《分析化学》 2024 (2)
198-207,10
广东省自然科学基金项目(No.2021A1515010182)资助.Supported by the Natural Science Foundation of Guangdong Province,China(No.2021A1515010182).
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