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Fig. 7 | BMC Bioinformatics

Fig. 7

From: Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis

Fig. 7

External validation of IL17C and ACOXL. The illustration shows the expression distribution of IL17C (A) and ACOXL (C) between atherosclerosis (red) and control group (blue) in GSE20129 dataset. ROC curves were constructed to assess the diagnostic accuracy of the IL17C (B) and ACOXL (D) in GSE20129 dataset. The illustration shows the expression distribution of IL17C (E) and ACOXL (G) between atherosclerosis (red) and control group (blue) in GSE43292 dataset. ROC curves were constructed to assess the diagnostic accuracy of the IL17C (F) and ACOXL (H) in GSE43292 dataset. The illustration shows the expression distribution of IL17C (I) and ACOXL (K) between atherosclerosis (red) and control group (blue) in GSE100927 dataset. ROC curves were constructed to assess the diagnostic accuracy of the IL17C (J) and ACOXL (L) in GSE100927 dataset

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BMC Bioinformatics

ISSN: 1471-2105

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