The challenges of gene expression microarrays for the study of human cancer

被引：72

作者：

Tinker, Anna V.

Boussioutas, Alex

Bowtell, David D. L.

机构：

[1] Peter MacCallum Canc Ctr, Ian Potter Ctr Canc Genom & Predict Med, Melbourne, Vic 3002, Australia

[2] Univ Melbourne, Dept Med, Royal Melbourne Hosp, Footscray, Vic 3011, Australia

[3] Univ Melbourne, Western Hosp, Footscray, Vic 3011, Australia

[4] Univ Melbourne, Dept Biochem, Parkville, Vic 3052, Australia

来源：

CANCER CELL | 2006年 / 9卷 / 05期

基金：

加拿大健康研究院;

关键词：

D O I：

10.1016/j.ccr.2006.05.001

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Large-scale genomic studies promise to advance our understanding of the biology of human cancers and to improve their diagnosis, prognostication, and treatment. The analysis and interpretation of genomics studies have faced challenges. The retrospective and observational design of many studies has rendered them susceptible to confounding and bias. Technological variations and advancer, have impacted on reproducibility. Statistical hurdles in relating a large number of variables to a small number of observations have added further constraints. This review considers the promise and challenge associated with the large-scale clinically oriented genomic analysis of human cancer and attempts to emphasize potential solutions.

引用

页码：333 / 339

页数：7

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