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Integration of microarray data and literature mining identifies a sex bias in DPP4+CD4+ T cells in HIV-1 infection
HIV-1 infection exhibits a significant sex bias. This study aimed at identifying and examining lymphocyte associated sex differences in HIV-1 pathogenesis using a data-driven approach. To select targets for investigating sex differences in lymphocytes, data of microarray experiments and literature m...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7500694/ https://ncbi.nlm.nih.gov/pubmed/32946499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239399 |
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