Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning.
Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning.
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DOI：
10.1002/adma.201600801
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发表时间：
2014-09
影响因子：
29.4
通讯作者：
Stacy M. Copp;Petko Bogdanov;M. Debord;Ambuj K. Singh;E. Gwinn
中科院分区：
文献类型：
--
作者：
Stacy M. Copp;Petko Bogdanov;M. Debord;Ambuj K. Singh;E. Gwinn
使用将大型实验数据集与用于模式识别的机器学习工具相结合的方法来识别荧光银簇 DNA 模板中的区分性碱基基序。将某些对确定荧光亮度很重要的多碱基基序的发现与生成算法相结合，选择稳定荧光银簇的 DNA 模板的概率增加了 3 倍以上。
Discriminative base motifs within DNA templates for fluorescent silver clusters are identified using methods that combine large experimental data sets with machine learning tools for pattern recognition. Combining the discovery of certain multibase motifs important for determining fluorescence brightness with a generative algorithm, the probability of selecting DNA templates that stabilize fluorescent silver clusters is increased by a factor of >3.