Improving objectivity and scalability in protein crystallization

被引：9
|
作者：
Jurisica, I
Rogers, P
Glasgow, JI
Collins, RJ
Wolfley, JR
Luft, JR
DeTitta, GT
机构：
[1] Univ Hlth Network, Princess Margaret Hosp, Ontario Canc Inst, Div Canc Informat, Toronto, ON M5G 2M9, Canada
[2] Queens Univ, Dept Comp & Informat Sci, Kingston, ON K7L 3H2, Canada
[3] Hauptman Woodward Med Res Inst, Buffalo, NY 14203 USA
来源：
IEEE INTELLIGENT SYSTEMS | 2001年 / 16卷 / 06期
基金：
加拿大自然科学与工程研究理事会; 美国国家卫生研究院;
关键词：
D O I：
10.1109/5254.972075
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article describes the application of image analysis techniques to protein crystallization experiment classification. By applying knowledge discovery techniques to the analysis results, we can extract important crystallographic knowledge.
引用
收藏
页码：26 / 34
页数：9
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