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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2017-12-01
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Series: | Genomics Data |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213596017300569 |