Identification of diagnostic biomarkers and potential therapeutic targets for biliary atresia via WGCNA and machine learning methods
Lei Xu,
Ting Xiao,
Biao Zou
et al.
Abstract:Biliary atresia (BA) is a severe and progressive biliary obstructive disease in infants that requires early diagnosis and new therapeutic targets. This study employed bioinformatics methods to identify diagnostic biomarkers and potential therapeutic targets for BA. Our analysis of mRNA expression from Gene Expression Omnibus datasets revealed 3,273 differentially expressed genes between patients with BA and those without BA (nBA). Weighted gene coexpression network analysis determined that the turquoise gene c… Show more
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