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Optimal gene expression analysis by microarrays.

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

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AlgorithmsAnimalsCell LineageCluster AnalysisComputational BiologyData Interpretation, StatisticalDatabases, GeneticGene Expression ProfilingHumansNeoplasmsOligonucleotide Array Sequence AnalysisQuality ControlReproducibility of ResultsResearch DesignComparative StudyJournal ArticleReview

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Lance D Miller, Philip M Long, Limsoon Wong, Sayan Mukherjee, Lisa M McShane, Edison T Liu. 2002. Optimal gene expression analysis by microarrays.. https://doi.org/10.1016/s1535-6108(02)00181-2

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