Figure 1 | Scientific Reports

Figure 1

From: Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning

Figure 1

Study Workflow for Analyzing Alopecia Areata (AA). Two datasets were used: GSE68801 (122 samples: 60 AA, 62 NC) as the primary dataset for analysis and GSE80342 (15 samples: 12 AA, 3 NC) for external validation. The workflow involved analyzing differentially expressed genes (DEGs) and ferroptosis-related DEGs (FRDEGs) in these datasets. AA, alopecia areata patients; NC, normal controls; DEGs, differentially expressed genes; FRDEGs, ferroptosis-related differentially expressed genes.

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