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Combining DNA-microarray data in systemic lupus erythematosus

Systemic lupus erythematosus is a systemic, heterogeneous autoimmune disease. Understanding of its molecular complexity is incomplete and there is a need to identify new therapeutic targets and to optimize criteria for its diagnosis, assessment and prognosis. Recently, Arasappan and colleagues have...

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Detalles Bibliográficos
Autores principales: Verweij, Cornelis L, Vosslamber, Saskia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219071/
https://www.ncbi.nlm.nih.gov/pubmed/21639954
http://dx.doi.org/10.1186/gm246
Descripción
Sumario:Systemic lupus erythematosus is a systemic, heterogeneous autoimmune disease. Understanding of its molecular complexity is incomplete and there is a need to identify new therapeutic targets and to optimize criteria for its diagnosis, assessment and prognosis. Recently, Arasappan and colleagues have described a new meta-analysis method that enables data analysis across different DNA-microarray datasets to identify genes and processes relevant to systemic lupus erythematosus. Their study provides a simple and valuable meta-analysis method for the selection of biomarkers and pathways in disease. See related research by Arasappan et al.: http://www.biomedcentral.com/1741-7015/9/65