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In the past few years, transcriptome analysis has been increasingly employed to better understand the physiology of Chinese hamster ovary (CHO) cells at a global level. As more transcriptome data accumulated, meta‐analysis on data sets collected from various sources can potentially provide better insights on common properties of those cells. Here, we performed meta‐analysis on transcriptome data...
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