Research Article

Derivation of a Novel CIHI in Patients with Lung Adenocarcinoma for Estimating Tumor Microenvironment and Clinical Prognosis

Figure 2

Calculating CIHI. (a, b) Parameter reduction by LASSO algorithm, the knee point determined by the effects of log penalty coefficient on the partial likelihood deviance was used to select the final parameters. (c, d) The coefficients of 7 final parameters obtained from Cox regression analysis. (e) Immune-related genes in 7 genes. (f) Hypoxia-related genes in 7 genes. (g) Hypoxia- and immune-related genes are common among 7 genes.
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