Construction and Analysis of Hepatocellular Carcinoma Prognostic Model Based on Random Forest

<div>Prognostic analysis of HCC patients: (a) multivariate Cox analysis of important DEGs for the prognosis of HCC patients; (b) survival analysis of high-risk and low-risk groups; (c) multivariate Cox analysis of the prognosis of HCC patients with different clinical status; (d) Cox proportional-hazards model (<span class="nowrap"><svg height="13.6833pt" id="M51" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -13.0463 54.3421 13.6833" width="54.3421pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0065,0,0,-0.0065,0,-9.852)"><path d="M503 164C503 183 495 209 482 228C429 236 402 243 352 269C402 295 428 304 482 311C494 330 503 355 502 376C485 385 459 391 436 390C403 347 383 328 336 298C338 354 343 381 365 431C353 451 337 471 318 481C302 471 283 451 273 431C293 381 300 354 303 298C255 328 235 346 202 389C179 390 153 385 135 374C135 355 143 329 156 310C210 302 236 295 286 269C236 243 210 234 156 227C144 208 135 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Canadian Journal of Gastroenterology and Hepatology

fig8

Figure 8

Figure 8: Construction and Analysis of Hepatocellular Carcinoma Prognostic Model Based on Random Forest 