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- W1546593463 abstract "Publisher Summary Microarray transcript analysis sets itself a very ambitious goal in attempting to measure transcription changes in more than 5000 yeast genes simultaneously. This is particularly challenging because these 5000 genes have an expression range of 10–3–102 transcripts per cell, a dynamic range of five orders of magnitude. The potential for error is obviously large. The chapter describes the procedures that allow these errors to be minimized and discusses computational analysis and its role both in the extraction of knowledge from vast tables of data and in providing an assessment of the quality and reliability of that knowledge. Thus, a pipeline of analysis is described in the chapter that has been designed to minimize errors and assess data quality. The initial fundamental concept and limitation to be grasped is that with current microarray technology, quantification is relative not absolute. The goal is always to measure relative transcript abundances between two or more samples. Because of this, the technique is extremely sensitive to errors arising from differences in sample handling. This places high demands on sample preparation and technical performance of the microarray experiment." @default.
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- W1546593463 date "2007-01-01" @default.
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- W1546593463 title "9 Transcript Analysis: A Microarray Approach" @default.
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- W1546593463 doi "https://doi.org/10.1016/s0580-9517(06)36009-6" @default.
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