Diagnostic classification of cancer using DNA microarrays and artificial intelligence

被引：30

作者：

Greer, BT ^{[1
]}

Khan, J ^{[1
]}

机构：

[1] NCI, Ctr Adv Technol, NIH, Gaithersburg, MD 20877 USA

来源：

APPLICATIONS OF BIOINFORMATICS IN CANCER DETECTION | 2004年 / 1020卷

关键词：

artificial neural networks; support vector machines; artificial intelligence; microarray;

D O I：

10.1196/annals.1310.007

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The application of artificial intelligence (AI) to microarray data has been receiving much attention in recent years because of the possibility of automated diagnosis in the near future. Studies have been published predicting tumor type, estrogen receptor status, and prognosis using a variety of AI algorithms. The performance of intelligent computing decisions based on gene expression signatures is in some cases comparable to or better than the current clinical decision schemas. The goal of these tools is not to make clinicians obsolete, but rather to give clinicians one more tool in their armamentarium to accurately diagnose and hence better treat cancer patients. Several such applications are summarized in this chapter, and some of the common pitfalls are noted.

引用

页码：49 / 66

页数：18

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