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Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma

机译：集成网络分析和逻辑回归模型可确定口腔鳞状细胞癌的特定阶段基因

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摘要

BackgroundOral squamous cell carcinoma (OSCC) is associated with substantial mortality and morbidity but, OSCC can be difficult to detect at its earliest stage due to its molecular complexity and clinical behavior. Therefore, identification of key gene signatures at an early stage will be highly helpful.

机译：背景口腔鳞状细胞癌（OSCC）与高死亡率和高发病率有关，但由于其分子复杂性和临床行为，其在早期阶段可能难以检测。因此，早期识别关键基因签名将非常有帮助。

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期刊名称 BMC Medical Genomics
作者
Vinay Randhawa; Vishal Acharya;
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作者单位

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年(卷),期 2015(8),-1
年度 2015
页码 39
总页数 20
原文格式 PDF
正文语种
中图分类遗传学;
关键词
Coexpression network analysis Gene module Hub gene Microarray Oral squamous cell carcinoma Logistic regression modeling;

机译：共表达网络分析;基因模块;Hub基因;微阵列;口腔鳞状细胞癌;Logistic回归建模;

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专利

1. Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma [J] . Vinay Randhawa, Vishal Acharya BMC Medical Genomics . 2015,第1期

机译：集成网络分析和逻辑回归模型可确定口腔鳞状细胞癌的特定阶段基因
2. Application of weighted gene co-expression network analysis to identify key modules and hub genes in oral squamous cell carcinoma tumorigenesis [J] . Xiaoqi Zhang, Hao Feng, Ziyu Li, OncoTargets and therapy . 2018,第2期

机译：加权基因共表达网络分析在口腔鳞癌发生中关键模块和枢纽基因识别中的应用
3. Computational models for predicting anticancer drug efficacy: A multi linear regression analysis based on molecular, cellular and clinical data of oral squamous cell carcinoma cohort [J] . Robert Beaulah Mary, Brindha G. R., Santhi B., Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2019,第期

机译：预测抗癌药物功效的计算模型：基于口腔鳞状细胞癌队列分子，细胞和临床数据的多线性回归分析
4. Modeling Biological Data Through Dynamic Bayesian Networks for Oral Squamous Cell Carcinoma Classification [C] . Konstantina Kourou, Costas Papaloukas, Dimitrios I.Fotiadis World Congress on Medical Physics and Biomedical Engineering . 2019

机译：通过动态贝叶斯网络进行建模生物数据，用于口腔鳞状细胞癌分类
5. Characterization and comparative analysis of gene expression profiles of three different human oral squamous carcinoma cell lines with different invasion and metastatic capacities. [D] . Erdem, Necip Fazil. 2007

机译：三种不同侵袭和转移能力的人类口腔鳞状细胞癌细胞系基因表达谱的表征和比较分析。
6. Logistic regression prediction model identify type 2 diabetes mellitus as a prognostic factor for human papillomavirus-16 associated head and neck squamous cell carcinoma [O] . Aastha Sobti, Fatemeh Saheb Sharif-Askari, Saif Khan, 2015

机译：Logistic回归预测模型确定2型糖尿病为人乳头瘤病毒16相关头颈部鳞状细胞癌的预后因素
7. Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma [O] . Vinay Randhawa, Vishal Acharya 2015

机译：集成网络分析和逻辑回归模型可确定口腔鳞状细胞癌的特定阶段基因

Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma

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