Use of bioinformatic analyses in identifying characteristic genes and mechanisms active in the progression of idiopathic thrombocytopenic purpura in individuals with different phenotypes

OBJECTIVE: To explore the mechanism underlying the progression of newly diagnosed idiopathic thrombocytopenic purpura (ITP) to its chronic or remission state using bioinformatic methods. METHODS: GSE56232 and GSE46922 gene expression profile datasets were downloaded from Gene Expression Omnibus (GEO...

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Detalles Bibliográficos
Autores principales: Zhang, Mengyi, Guo, Binhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Pre-Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689594/
https://www.ncbi.nlm.nih.gov/pubmed/33222560
http://dx.doi.org/10.1177/0300060520971437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689594/
https://www.ncbi.nlm.nih.gov/pubmed/33222560
http://dx.doi.org/10.1177/0300060520971437

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