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Article

Stroke-associated pattern of gene expression previously identified by machine-learning is diagnostically robust in an independent patient population

1 Sept 2017

Abstract excerpt

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 capacity and temporal stability of this stroke-associated transcriptional signature in an independent patient...

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PMID: 28932682
DOI: 10.1016/j.gdata.2017.08.006

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