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

Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recr...

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Detalles Bibliográficos
Autores principales: O’Connell, Grant C, Petrone, Ashley B, Treadway, Madison B, Tennant, Connie S, Lucke-Wold, Noelle, Chantler, Paul D, Barr, Taura L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685316/
https://www.ncbi.nlm.nih.gov/pubmed/29263821
http://dx.doi.org/10.1038/npjgenmed.2016.38

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685316/
https://www.ncbi.nlm.nih.gov/pubmed/29263821
http://dx.doi.org/10.1038/npjgenmed.2016.38

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