Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

npj Genomic Medicine

Volumn 1, Issue , 2016, Pages

  O'Connell, Grant C ^a,b   Petrone, Ashley B ^a   Treadway, Madison B ^b   Tennant, Connie S ^a   Lucke Wold, Noelle ^a   Chantler, Paul D ^b,c   Barr, Taura L ^d  

^a WEST VIRGINIA UNIVERSITY   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

^c WEST VIRGINIA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d CereDx Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85019007967     PISSN: None     EISSN: 20567944     Source Type: Journal    
DOI: 10.1038/npjgenmed.2016.38     Document Type: Article

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