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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...
Autores principales: | Zhang, Mengyi, Guo, Binhan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
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 |
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