| P50 | author | Grant C O'Connell | Q55444985 |
| P2093 | author name string | Taura L Barr | |
| | Paul D Chantler | |
| | Ashley B Petrone | |
| | Noelle Lucke-Wold | |
| | Connie S Tennant | |
| | Madison B Treadway | |
| P2860 | cites work | Heart Disease and Stroke Statistics--2013 Update: A Report From the American Heart Association | Q22306356 |
| | Acute Ischemic Cerebrovascular Syndrome: Diagnostic Criteria | Q22306376 |
| | Interaction of soluble CD163 with activated T lymphocytes involves its association with non-muscle myosin heavy chain type A | Q24306764 |
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| | Only the soluble form of the scavenger receptor CD163 acts inhibitory on phorbol ester-activated T-lymphocytes, whereas membrane-bound protein has no effect | Q34147333 |
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| | Gene expression in blood changes rapidly in neutrophils and monocytes after ischemic stroke in humans: a microarray study | Q38317059 |
| | Regulation of Rho signaling pathways in interleukin-2-stimulated human T-lymphocytes. | Q38321326 |
| | KIF1B promotes glioma migration and invasion via cell surface localization of MT1-MMP. | Q38818997 |
| | Leptin-mediated regulation of MT1-MMP localization is KIF1B dependent and enhances gastric cancer cell invasion | Q39203854 |
| | MAL protein controls protein sorting at the supramolecular activation cluster of human T lymphocytes. | Q39555508 |
| | Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, ATLANTIS, NINDS, and EPITHET trials | Q39933423 |
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| | Serum free hemoglobin as a novel potential biomarker for acute ischemic stroke | Q45406417 |
| | Emergency department arrival times after acute ischemic stroke during the 1990s | Q48109863 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P921 | main subject | machine learning | Q2539 |
| P304 | page(s) | 16038 | |
| P577 | publication date | 2016-11-30 | |
| P1433 | published in | NPJ genomic medicine | Q27727516 |
| P1476 | title | Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke | |
| P478 | volume | 1 | |