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A Computational Gene Expression Score for Predicting Immune Injury in Renal Allografts
BACKGROUND: Whole genome microarray meta-analyses of 1030 kidney, heart, lung and liver allograft biopsies identified a common immune response module (CRM) of 11 genes that define acute rejection (AR) across different engrafted tissues. We evaluated if the CRM genes can provide a molecular microscop...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4569485/ https://ncbi.nlm.nih.gov/pubmed/26367000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0138133 |
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