Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke-Reference-Cited by-同舟云学术

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

Published:2016-11 Issue:1 Volume:1 Page:
ISSN:2056-7944
Container-title:npj Genomic Medicine
language:en
Short-container-title:npj Genomic Med

Author:

O’Connell Grant C,Petrone Ashley B,Treadway Madison B,Tennant Connie S,Lucke-Wold Noelle,Chantler Paul D,Barr Taura L

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics,Molecular Biology

Link

http://www.nature.com/articles/npjgenmed201638.pdf

Reference48 articles.

1. Go A. S. et al. Heart disease and stroke statistics-2013 update: a report from the American Heart Association. Circulation 2013; 127: e6-e245.

2. Lees, K. R. et al. Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, ATLANTIS, NINDS, and EPITHET trials. Lancet 375, 1695–1703 (2010).

3. Marler, J. R. et al. Early stroke treatment associated with better outcome: the NINDS rt-PA stroke study. Neurology 55, 1649–1655 (2000).

4. Jauch, E. C. et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 44, 870–947 (2013).

5. Goldstein, L. B., Hey, L. A. & Laney, R. North Carolina stroke prevention and treatment facilities survey. Statewide availability of programs and services. Stroke 31, 66–70 (2000).

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