HIGHLIGHTS
- who: Genomes and colleagues from the Dermatology, China Maharishi Markandeshwar University have published the paper: Identifying key genes in CD4 T cells of systemic lupus erythematosus by integrated bioinformatics analysis, in the Journal: (JOURNAL)
- how: Processing and analysis of these collected data were conducted with the R software. The authors compared the gene_expression between HC and SLE patients with different disease activity and identified the potential biomarkers of diagnostic and therapeutic value for SLE. With no outlier samples the authors calculated the optimal soft threshold power (u03b2 value) was 8 which was verified by scalefree . . .
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