Machine learning reveals distinct gene signature profiles in lesional and nonlesional regions of inflammatory skin diseases

Abstract excerpt

Analysis of gene expression from cutaneous lupus erythematosus, psoriasis, atopic dermatitis, and systemic sclerosis using gene set variation analysis (GSVA) revealed that lesional samples from each condition had unique features, but all four diseases displayed common enrichment in multiple inflammatory signatures. These findings were confirmed by both classification and regression tree analysis and machine...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Dermatology and Skin Diseases
• Share to Psoriasis: Treatment and Pathogenesis
• Share to Systemic Lupus Erythematosus Research