[HTML][HTML] 基于网络分析和随机森林方法的肝细胞癌分期研究

李鑫 - Statistics and Application, 2019 - hanspub.org
肝细胞癌(Hepatocellular Carcinoma, HCC) 是一种侵袭性恶性肿瘤, 尽管肝细胞癌诊断技术及
治疗水平有了较大的进步, 但对HCC 的早期诊断依然是个巨大的挑战. 在本文中 …

Identifying Critical States of Hepatocellular Carcinoma Based on Single-Sample Dynamic Network Biomarkers Combined with Simulated Annealing Algorithm

H Zhao, J Gao, Y Sun, Y Wang, T Guan… - Current …, 2021 - ingentaconnect.com
Background: Hepatocellular Carcinoma (HCC) is one of the most common malignant
tumors. Due to the insidious onset and poor prognosis, most patients have reached the …

Network analysis of HBV-and HCV-induced hepatocellular carcinoma based on Random Forest and Monte Carlo cross-validation

SN Zhao, LL Liu, ZP Lv… - Molecular medicine …, 2017 - spandidos-publications.com
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-associated mortality
worldwide. Hepatitis B virus (HBV) and hepatitis C virus (HCV) are two common risk factors …

[PDF][PDF] 多基因模型在肝细胞癌预后中的应用

魏之菡, 法博涛, 俞章盛 - 生物技术通报, 2020 - biotech.aiijournal.com
利用较少分子信息预测肝细胞癌类型对患者的个性化治疗十分关键. 探索已知的与肝细胞癌预后
相关的信号通路, 共发现41 个关键基因. 随后, 运用机器学习的方法对其构建风险预测模型 …

应用加权基因共表达网络分析识别肝细胞癌发生和进展过程中关键通路和基因作用研究

徐思洁, 秦浩, 张振华 - 实用肝脏病杂志, 2024 - manu43.magtech.com.cn
目的探讨肝细胞癌(HCC) 发生进展过程中功能富集通路和关键基因表达.
方法从基因表达数据库(GEO) 下载HBV 感染不同阶段和正常对照肝脏转录组数据 …

Screening of feature genes related to hepatocellular carcinoma by weighted gene co-expression network analysis and experimental verification.

K Gan, L Xie, Y Chen, G Luo, M Deng - 2022 - cabidigitallibrary.org
In order to screen out the characteristic genes related to clinicopathological features of
hepatocellular carcinoma (HCC), this study extracted the gene modules that related to …

[引用][C] Staging Study of Hepatocellular Carcinoma Based on Network Analysis and Random Forest Method

X Li - 2019

[引用][C] 基于WGCNA 方法的肝癌预后及分期研究

李鑫 - 2019 - 华北电力大学(北京)

[引用][C] 基于生物信息学综合分析肝细胞肝癌预后标志物

龙俊宇 - 2019 - 北京协和医学院

[引用][C] 拷贝数变异和DNA 甲基化驱动基因构建肝癌预后, 复发和诊断模型

边进 - 2021 - 北京协和医学院