Figure 6 — Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach

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Research Paper|Volume 16, Issue 16|pp. 11824–11842

Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach

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Figure 6.Kaplan-Meier survival curve analysis of 6 key CRGs. (A–F) Kaplan-Meier survival curves of (A) ABCC2, (B) CA14, (C) EGR3, (D) FBXW7, (E) LDHB, and (F) PSEN2, respectively.

Figure 6 — Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach | Aging