Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes-Reference-Cited by-同舟云学术

Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes

Published:2019-03-05 Issue:10 Volume:234 Page:18098-18110
ISSN:0021-9541
Container-title:Journal of Cellular Physiology
language:en
Short-container-title:J Cell Physiol

Author:

Xue Wenhua¹²,Fan Zhirui³,Li Lifeng¹³,Yan Dan¹,Shen Zhibo¹³,Zhai Yunkai⁴⁵,Kan Quancheng¹²,Zhao Jie¹⁴⁵^ORCID

Affiliation:

1. Department of Pharmacy the First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China

2. Henan Key Laboratory of Precision Clinical Pharmacy the First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China

3. Cancer Center, the First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China

4. Center of Telemedicine, the First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China

5. National Engineering Laboratory for Internet Medical Systems and Applications the First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Clinical Biochemistry,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcp.28442

Reference24 articles.

1. Principle component analysis (PCA) for investigation of relationship between population dynamics of microbial pathogenesis, chemical and sensory characteristics in beef slices containing Tarragon essential oil

2. Testing the significance of a correlation with nonnormal data: Comparison of Pearson, Spearman, transformation, and resampling approaches.

3. Analysis of Microarray Data Using Z Score Transformation

4. Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma

5. Gene expression profiling and pathway network analysis of anti-tumor activity by Jaridon 6 in esophageal cancer

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