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

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

Methods: Two microarray datasets (GSE59701, GSE88804) were downloaded from NCBI GEO database. LIMMA software package was used to screen SACC differentially expressed genes.