A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia

摘要

BackgroundAlopecia or hair loss is a complex polygenetic and psychologically devastating disease affecting millions of men and women globally. Since the gene annotation and environmental knowledge is limited for alopecia, a systematic analysis for the identification of candidate biomarkers is required that could provide potential therapeutic targets for hair loss therapy.