ArticleNPJ genomic medicine2016
Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke.
Article in NPJ genomic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods.Nature communications · 2026Pooled it
- Multi-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2023Pooled it
- Bulk and single-cell RNA-seq analyses characterize a DBP-related circadian signature in ischemic stroke.iScience · 2026Article
- Article
- Identification of Key Genes and Immune Characteristics of SASP in Acute Ischemic Stroke.Journal of molecular neuroscience : MN · 2025Article
- Candidate SNP Markers Significantly Altering the Affinity of the TATA-Binding Protein for the Promoters of Human Genes Associated with Primary Open-Angle Glaucoma.International journal of molecular sciences · 2024Article
- Integrating machine learning and single-cell transcriptomic analysis to identify potential biomarkers and analyze immune features of ischemic stroke.Scientific reports · 2024Article
- Article
- Integrated single cell-RNA sequencing and Mendelian randomization for ischemic stroke and metabolic syndrome.iScience · 2024Article
- Advancing stroke recovery: unlocking the potential of cellular dynamics in stroke recovery.Cell death discovery · 2024Review
- Integrative multi-omics approach using random forest and artificial neural network models for early diagnosis and immune infiltration characterization in ischemic stroke.Frontiers in neurology · 2024Article
- Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Ischemic Stroke and Atherosclerosis.International journal of general medicine · 2024Article
- Article
- Article
- Donor white blood cell differential is the single largest determinant of whole blood gene expression patterns.Genomics · 2023Article
- Variability in donor leukocyte counts confound the use of common RNA sequencing data normalization strategies in transcriptomic biomarker studies performed with whole blood.Scientific reports · 2023Article
- Article
- Development of a machine learning framework for radiation biomarker discovery and absorbed dose prediction.Frontiers in oncology · 2023Article
- Receptors that bind to PEDF and their therapeutic roles in retinal diseases.Frontiers in endocrinology · 2023Review
- Integrated bioinformatics analysis identifies shared immune changes between ischemic stroke and COVID 19.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 recruited consisting of 39 AIS patients and 24 neurologically asymptomatic controls. Peripheral blood was sampled at emergency department admission, and genome-wide expression profiling was performed via microarray. A machine-learning technique known as genetic algorithm k-nearest neighbours (GA/kNN) was then used to identify a pattern of gene expression that could optimally discriminate between groups. This pattern of expression was then assessed via qRT-PCR in an independent validation cohort, where it was evaluated for its ability to discriminate between an additional 39 AIS patients and 30 neurologically asymptomatic controls, as well as 20 acute stroke mimics. GA/kNN identified 10 genes (
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Registered trials
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