This chapter introduces methods to synthesize experimental results from independent high-throughput genomic experiments, with a focus on adaptation of traditional methods from systematic review of clinical trials and epidemiological studies. First, it reviews methods for identifying, acquiring, and preparing individual patient data for meta-analysis. It then reviews methodology for synthesizing results across studies and assessing heterogeneity, first through outlining of methods and then through a step-by-step case study in identifying genes associated with survival in high-grade serous ovarian cancer.
CITATION STYLE
Waldron, L., & Riester, M. (2016). Meta-analysis in gene expression studies. In Methods in Molecular Biology (Vol. 1418, pp. 161–176). Humana Press Inc. https://doi.org/10.1007/978-1-4939-3578-9_8
Mendeley helps you to discover research relevant for your work.