Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke.
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Peripheral blood AKAP7 expression as an early marker for lymphocyte-mediated post-stroke blood brain barrier disruptionMonocyte-lymphocyte cross-communication via soluble CD163 directly links innate immune system activation and adaptive immune system suppression following ischemic stroke.Leukocyte Dynamics Influence Reference Gene Stability in Whole Blood: Data-Driven qRT-PCR Normalization Is a Robust Alternative for Measurement of Transcriptional Biomarkers.
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Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke.
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2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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Machine-learning approach iden ...... ately detect ischaemic stroke.
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Machine-learning approach iden ...... ately detect ischaemic stroke.
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label
Machine-learning approach iden ...... ately detect ischaemic stroke.
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Machine-learning approach iden ...... ately detect ischaemic stroke.
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Machine-learning approach iden ...... ately detect ischaemic stroke.
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Machine-learning approach iden ...... ately detect ischaemic stroke.
@nl
P2093
P2860
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Machine-learning approach iden ...... rately detect ischaemic stroke
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P2093
Ashley B Petrone
Connie S Tennant
Madison B Treadway
Noelle Lucke-Wold
Paul D Chantler
Taura L Barr
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P2888
P356
10.1038/NPJGENMED.2016.38
P577
2016-11-30T00:00:00Z