A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.
A clarification of the terms used in comparing semi-automated particle selection algorithms in cryo-EM.
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DOI：
10.1016/j.jsb.2011.03.009
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发表时间：
2011-09
影响因子：
3
通讯作者：
Frank J
中科院分区：
文献类型：
--
作者：
Langlois R;Frank J
许多Cyro-EM数据集都是由于经历构象变化的分子而异质的。以足够的分辨率表征每个底物的需求需要大幅度增加数据流，并激发了更有效的自动化粒子选择算法的发展。机器学习领域的概念和程序越来越多地用于此目的。但是，对最近的文献的回顾揭示了用于比较粒子选择算法的性能得分的术语差异，这随后导致了声称性能的含义的歧义。为了减少这种混乱的持续性并消除过去的错误，我们使用一组在机器学习领域中建立和接受的术语来审查已发表的粒子选择工作的性能。
Many cyro-EM datasets are heterogeneous stemming from molecules undergoing conformational changes. The need to characterize each of the substrates with sufficient resolution entails a large increase in the data flow and motivates the development of more effective automated particle selection algorithms. Concepts and procedures from the machine-learning field are increasingly employed toward this end. However, a review of recent literature has revealed a discrepancy in terminology of the performance scores used to compare particle selection algorithms, and this has subsequently led to ambiguities in the meaning of claimed performance. In an attempt to curtail the perpetuation of this confusion and to disentangle past mistakes, we review the performance of published particle selection efforts with a set of explicitly defined performance scores using the terminology established and accepted within the field of machine learning.
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影响因子：
3
作者：
Chen, James Z.;Grigorieff, Nikolaus
通讯作者：
Grigorieff, Nikolaus
影响因子：
2.2
作者：
HARAUZ, G;FONGLOCHOVSKY, A
通讯作者：
FONGLOCHOVSKY, A
影响因子：
2.2
作者：
Pascual, A;B치rcena, M;Carazo, JM
通讯作者：
Carazo, JM
影响因子：
7.5
作者：
Schapire, RE;Singer, Y
通讯作者：
Singer, Y
影响因子：
3
作者：
Huang, Z;Penczek, PA
通讯作者：
Penczek, PA