Fig. 4
From: Exploration of potential shared gene signatures between periodontitis and multiple sclerosis
Identification of potential shared diagnostic genes by the LASSO regression model. (a) Tenfold cross-validation to select the optimal tuning parameter log (lambda) in the the periodontitis database GSE16134 database. (b) LASSO coefficient profiles of diagnostic genes in the the periodontitis database GSE16134 database. (c) Tenfold cross-validation to select the optimal tuning parameter log (lambda) in a merged dataset of GSE108000 and GSE135511 in MS. (d) LASSO coefficient profiles of diagnostic genes in a merged dataset of GSE108000 and GSE135511 in MS. (e) Venn diagram showing the optimal diagnostic biomarkers