We selected the filtering threshold of |logFC| > 0.5 and p < 0.05 to maximize the inclusion of potential DEGs during preliminary screening, allowing us to detect subtle gene expression changes that may be significant in ischemic stroke pathophysiology.
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The impact of inflammation and iron metabolism on gene expression alterations in ischemic stroke: a bioinformatics approach.
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