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首页> 外文期刊>Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer >P2.02-050 Weighted Genes Co-expression Network Analysis of Lung Cancers Concerning Patients Overall Survival and Cancer Stage

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P2.02-050 Weighted Genes Co-expression Network Analysis of Lung Cancers Concerning Patients Overall Survival and Cancer Stage

机译：P2.02-050加权基因对患者整体存活和癌症阶段的肺癌共进表达网络分析

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来源
《Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer》 |2017年第11期|共2页
作者
H. Qi; G. Chen;
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作者单位

Chinese University of Hong Kong;

Chinese University of Hong Kong;

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原文格式 PDF
正文语种 eng
中图分类肿瘤学;
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1. P2.02-050 Weighted Genes Co-expression Network Analysis of Lung Cancers Concerning Patients Overall Survival and Cancer Stage [J] . H. Qi, G. Chen Journal of thoracic oncology: official publication of the International Association for the Study of Lung Cancer . 2017,第11期

机译：P2.02-050加权基因对患者整体存活和癌症阶段的肺癌共进表达网络分析
2. Weighted gene co-expression network analysis in identification of metastasis-related genes of lung squamous cell carcinoma based on the Cancer Genome Atlas database [J] . Feng Tian, Jinlong Zhao, Xinlei Fan, Journal of Thoracic Disease . 2017,第1期

机译：基于癌基因组图谱数据库的加权基因共表达网络分析在肺鳞癌转移相关基因识别中的应用
3. Identifying gene modules of thyroid cancer associated with pathological stage by weighted gene co-expression network analysis [J] . Tang Xiaozhun, Huang Xiaoliang, Wang Duoping, Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function . 2019,第期

机译：用加权基因共同表达网络分析鉴定与病理阶段相关的甲状腺癌的基因模块
4. Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network [C] . H. Kamezawa, H. Arimura, M. Soufi SPIE Medical Imaging Conference . 2018

机译：利用人工神经网络从肺癌患者的放射学特征中预测鳞状细胞癌的生存率
5. Subgroup analysis based on prognostic and predictive gene signatures for adjuvant chemotherapy in early-stage non-small-cell lung cancer patients [D] . Pluta, Dustin. 2015

机译：基于预后和预测基因特征的亚组分析用于早期非小细胞肺癌患者的辅助化疗
6. A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network [O] . Hui Xie, Conghua Xie 2019

机译：六基因签名预测非小细胞肺癌患者腺癌类型的存活：基于综合分析和加权基因共存网络的综合研究
7. Identification of Hub Genes as Biomarkers Correlated with the Proliferation and Prognosis in Lung Cancer: A Weighted Gene Co-Expression Network Analysis [O] . Xuting Xu, Limin Xu, Huilian Huang, 2020

机译：作为生物标志物的鉴定枢纽基因与肺癌的增殖和预后相关的生物标志物：加权基因共表达网络分析

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