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Links from GEO DataSets

Items: 3

1.
Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke
Grant C O’Connell, Ashley B Petrone, Madison B Treadway, Connie S Tennant, Noelle Lucke-Wold, Paul D Chantler, Taura L Barr
NPJ Genom Med. 2016; 1: 16038. Published online 2016 Nov 30. doi: 10.1038/npjgenmed.2016.38
PMCID:
PMC5685316
ArticlePDF–681K
2.
Peripheral blood AKAP7 expression as an early marker for lymphocyte-mediated post-stroke blood brain barrier disruption
Grant C. O’Connell, Madison B. Treadway, Ashley B. Petrone, Connie S. Tennant, Noelle Lucke-Wold, Paul D. Chantler, Taura L. Barr
Sci Rep. 2017; 7: 1172. Published online 2017 Apr 26. doi: 10.1038/s41598-017-01178-5
PMCID:
PMC5430856
ArticlePDF–2.7M
3.
Genomic biomarkers and cellular pathways of ischemic stroke by RNA gene expression profiling
T.L. Barr, Y. Conley, J. Ding, A. Dillman, S. Warach, A. Singleton, M. Matarin
Neurology. 2010 Sep 14; 75(11): 1009–1014. doi: 10.1212/WNL.0b013e3181f2b37f
PMCID:
PMC2942033
ArticlePDF–660K

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