Uncovering periodontitis-associated markers through the aggregation of transcriptomics information from diverse sources
Chujun Peng,
Jinhang Huang,
Mingyue Li
et al.
Abstract:IntroductionPeriodontitis, a common chronic inflammatory disease, significantly impacted oral health. To provide novel biological indicators for the diagnosis and treatment of periodontitis, we analyzed public microarray datasets to identify biomarkers associated with periodontitis.MethodThe Gene Expression Omnibus (GEO) datasets GSE16134 and GSE106090 were downloaded. We performed differential analysis and robust rank aggregation (RRA) to obtain a list of differential genes. To obtain the core modules and cor… Show more
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