Data Pre-Processing Issues in Microarray Analysis

作者: Nicholas A. Tinker , Laurian S. Robert , Gail Butler , Linda J. Harris

DOI: 10.1007/0-306-47815-3_2

关键词:

摘要: Defined broadly, pre-processing involves many potential steps that are essential for successful microarray experimentation. The need some (e.g., experimental design, image analysis) is unquestionable. Other less dogmatic. Data transformation, inspection, and filtering should occur based on individual analytical goals data management systems. These may take new meaning as different techniques analysis become widely accepted. A complete perfect recipe analyzing experiments does not exist. Therefore, each experimenter must develop systems procedures both appropriate correct. We hope the concepts introduced in this chapter will help reader to better understand detailed presentations found later chapters.

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