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：

美国国家卫生研究院; 加拿大自然科学与工程研究理事会;

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

页码：26 / 34

页数：9

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