Abstract
Genetic microarrays have been the primary technology for quantitative transcriptome analysis since the mid-1990s. Via statistical testing methodology developed for microarray data, researchers can study genes and gene pathways involved in a disease. Recently a new technology known as RNA-seq has been developed to quantitatively study the transcriptome. This new technology can also study genes and gene pathways, although the statistical methodology used for microarrays must be adapted to this new platform. In this manuscript, we discuss methods of gene pathway analysis in microarrays and next generation sequencing and their advantages over standard “gene by gene” testing schemes.
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Miecznikowski, J., Wang, D., Ren, X., Wang, J., Liu, S. (2020). Analyzing Gene Pathways from Microarrays to Sequencing Platforms. In: Almudevar, A., Oakes, D., Hall, J. (eds) Statistical Modeling for Biological Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-34675-1_16
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DOI: https://doi.org/10.1007/978-3-030-34675-1_16
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