Fig. 3 | Scientific Reports

Fig. 3

From: Cer(d18:1/16:0) as a biomarkers for acute coronary syndrome in Chinese populations

Fig. 3The alternative text for this image may have been generated using AI.

Screening of characteristic variable-related diagnositic signature in ACS using Lasso.cv and Boruta. (A) Relevant features (highlighted in green) to the interest selected with Boruta algorithm. (B) Lasso regression and tenfold cross-validation were used to select the ceramide features. LASSO coefficient profile are plotted against the log (λ) sequence. (C) Partial likelihood deviance for different numbers of variables, there are 1 non-zero coefficients (Cer(d18:1/16:0)) obtained according to the λ value.

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