Critical assessment of automated flow cytometry data analysis techniques

被引：0
|
作者：
Nima Aghaeepour
Greg Finak
Holger Hoos
Tim R Mosmann
Ryan Brinkman
Raphael Gottardo
Richard H Scheuermann
机构：
[1] Terry Fox Laboratory,Department of Computer Science
[2] British Columbia Cancer Agency,undefined
[3] Fred Hutchinson Cancer Research Center,undefined
[4] University of British Columbia,undefined
[5] School of Medicine and Dentistry,undefined
[6] University of Rochester,undefined
[7] J. Craig Venter Institute,undefined
来源：
Nature Methods | 2013年 / 10卷 / 3期
关键词：
D O I：
10.1038/nmeth.2365
中图分类号：
学科分类号：
摘要：
In this analysis, the authors directly compared the performance of flow cytometry data processing algorithms to manual gating approaches. The results offer information of practical utility about the performance of the algorithms as applied to different data sets and challenges.
引用
收藏
页码：228 / 238
页数：10
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