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利用微阵列进行最佳基因表达分析。

Optimal gene expression analysis by microarrays.

作者信息

Miller Lance D, Long Philip M, Wong Limsoon, Mukherjee Sayan, McShane Lisa M, Liu Edison T

机构信息

Genome Institute of Singapore, Singapore 117528.

出版信息

Cancer Cell. 2002 Nov;2(5):353-61. doi: 10.1016/s1535-6108(02)00181-2.

Abstract

DNA microarrays make possible the rapid and comprehensive assessment of the transcriptional activity of a cell, and as such have proven valuable in assessing the molecular contributors to biological processes and in the classification of human cancers. The major challenge in using this technology is the analysis of its massive data output, which requires computational means for interpretation and a heightened need for quality data. The optimal analysis requires an accounting and control of the many sources of variance within the system, an understanding of the limitations of the statistical approaches, and the ability to make sense of the results through intelligent database interrogation.

摘要

DNA微阵列技术使得对细胞转录活性进行快速、全面的评估成为可能,因此在评估生物过程的分子影响因素以及人类癌症分类方面已被证明具有重要价值。使用这项技术的主要挑战在于分析其海量的数据输出,这需要通过计算手段进行解读,并且对高质量数据的需求也更高。最佳分析需要考虑并控制系统内众多变异来源,理解统计方法的局限性,以及通过智能数据库查询来理解结果的能力。

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