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We downloaded the series matrix files of datasets from GEO. The R package “limma” [41] was utilized to normalize the data and find DEGs. We then used RRA to integrate the results of those 10 datasets to find the most significant DEGs [11]. The P value of each gene indicated its ranking in the final gene list, and genes with adjusted P < 0.05 were considered as significant DEGs in the RRA analysis.
Copyright and License information: ©2019 Song et al.
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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