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Stroke-associated pattern of gene expression previously identified by machine-learning is diagnostically robust in an independent patient population
Our group recently employed genome-wide transcriptional profiling in tandem with machine-learning based analysis to identify a ten-gene pattern of differential expression in peripheral blood which may have utility for detection of stroke. The objective of this study was to assess the diagnostic capa...
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| Publicado no: | Genom Data |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5596252/ https://ncbi.nlm.nih.gov/pubmed/28932682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.gdata.2017.08.006 |
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