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. 2019 Dec 24;43(6):zsz314. doi: 10.1093/sleep/zsz314

Figure 1.

Figure 1.

Multidimensional scaling of subcutaneous fat gene expression in subjects with OSA (n = 10) and those without OSA (n = 8) assesses whether sleep apnea alters global transcriptional signals. (A) Unsupervised correspondence analysis (COA) of subcutaneous fat transcriptome. (B) Supervised partial least squares discriminant analysis (PLSDA) of subcutaneous fat transcriptome improves separation between subjects with and without OSA.