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  • Title: Microarray Data Analysis for Transcriptome Profiling.
    Author: Sun MA, Shao X, Wang Y.
    Journal: Methods Mol Biol; 2018; 1751():17-33. PubMed ID: 29508287.
    Abstract:
    Microarray data have vastly accumulated in the past two decades. Due to the high-throughput characteristic of microarray techniques, it has transformed biological studies from specific genes to transcriptome level, and deeply boosted many fields of biological studies. While microarray offers great advantages for expression profiling, on the other hand it faces a lot challenges for computational analysis. In this chapter, we demonstrate how to perform standard analysis including data preprocessing, quality assessment, differential expression analysis, and general downstream analyses.
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