A cancer associated fibroblasts-related six-gene panel for anti-pd-1 therapy in melanoma driven by weighted correlation network analysis and supervised machine learning

HIGHLIGHTS

• who: Juan Chen and Mingwei Liu from the University of Lu00fcbeck, Germany have published the research: A Cancer Associated Fibroblasts-Related Six-Gene Panel for Anti-PD-1 Therapy in Melanoma Driven by Weighted Correlation Network Analysis and Supervised Machine Learning, in the Journal: (JOURNAL)
• what: Using WGCNA combined with supervised machine_learning algorithms, we identified a novel CAFs-related panel, including six genes (CDK14, SYNPO2, TCF4, GJA1, CPXM1, TFPI), which can distinguish the response of melanoma patients under antiPD-1 immunotherapy.
• how: In this study a robust analysis comprised of weighted gene co . . .
  

   

  

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