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Research Paper|Volume 15, Issue 14|pp. 7146–7160
Combining WGCNA and machine learning to construct immune-related EMT patterns to predict HCC prognosis and immune microenvironment
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Figure 7
Figure 7.Exploring the oncogenic role of ARMC9 in HCC. (A) Validation of the knockdown efficiency of si-ARMC9 in BEL7402 and HCCLM3. (B, C) The effect of ARMC9 knockdown on the proliferation ability of BEL7402 and HCCLM3 cells was evaluated by CCK8 assay. (D, E) The effect of ARMC9 knockdown on the migration and invasion abilities of BEL7402 and HCCLM3 cells was evaluated by Transwell assay.
Figure 7 — Combining WGCNA and machine learning to construct immune-related EMT patterns to predict HCC prognosis and immune microenvironment | Aging