[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Journal: Shanghai kou qiang yi xue = Shanghai journal of stomatology

PMID: 40007290

Abstract

PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.

Authors

Wen-Chao Bu

School of Medicine, Lishui University. Lishui 323000, China. E-mail: 2318015868@qq.com.
Shi-Xin Chen
Yin-Hua Jiang
Ming-Guo Cao
Xin-Ru Wu

Department of Animal Science, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan.
Yun-Qian Guan
Si-Yuan Xie

Keywords

Biomarkers, Tumor Carcinoma, Adenoid Cystic Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Machine Learning RNA, Long Noncoding ROC Curve Salivary Gland Neoplasms

External Resources

View on PubMed PubMed (40007290)

[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Abstract

Authors

Keywords

External Resources

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