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Bertoni APS, Manfroi PA, Tomedi J, et al

I compare against Polarization Frequency Analysis (PFA) and find consistent regime identification, with the directional spectrum more robust to interferometric filtering

Methods Here, we leveraged four datasets of PCOS and executed differential gene expression analysis, engaged in WGCNA, and harnessed machine learning algorithmsincluding RF, SVM-RFE, and LASSOto deeply explore the key genes that interact with senescence and sphingolipid metabolism in granulosa cells of PCOS

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It is also involved in cell signaling and gene expression that regulates cell proliferation and apoptosis