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

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 inflamma...

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Detalles Bibliográficos
Autores principales: Martínez, Brittany A., Shrotri, Sneha, Kingsmore, Kathryn M., Bachali, Prathyusha, Grammer, Amrie C., Lipsky, Peter E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054015/
https://www.ncbi.nlm.nih.gov/pubmed/35486723
http://dx.doi.org/10.1126/sciadv.abn4776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054015/
https://www.ncbi.nlm.nih.gov/pubmed/35486723
http://dx.doi.org/10.1126/sciadv.abn4776

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