[Retracted] Prediction of Hepatocellular Carcinoma Prognosis and Immune Cell Infiltration Using Gene Signature Associated with Inflammatory Response

<div>The weighted gene coexpression network was constructed and screened HCC-related genes in the TCGA database. (a) Samples clustering to identify outliers. (b) Soft threshold selection analysis to select the optimal soft threshold. (c) A total of 16 modules were screened by setting MEDissThres as 0.25 and minModuleSize as 50. (d) MEmidnightblue module correlation with HCC.</div>

Computational and Mathematical Methods in Medicine

fig1

Figure 1

Figure 1: [Retracted] Prediction of Hepatocellular Carcinoma Prognosis and Immune Cell Infiltration Using Gene Signature Associated with Inflammatory Response 

Figure 1 | [Retracted] Prediction of Hepatocellular Carcinoma Prognosis and Immune Cell Infiltration Using Gene Signature Associated with Inflammatory Response 