期刊
BIOMARKERS
卷 18, 期 3, 页码 264-272出版社
TAYLOR & FRANCIS LTD
DOI: 10.3109/1354750X.2013.773083
关键词
Alzheimer's disease; diagnostic gene; expression; microarray; splice variant
Objective: Microarray-based signatures for clinical application are often plagued by processing variability or batch effects that compromise the robustness of the test performance. Methods: A splice variant array-based signature for early detection of Alzheimer's disease (AD) was developed using 315 AD or normal subjects processed in three disparate microarray batches. Results: A modified top scoring pair classifier using the signature, is robust to batch effects and outperforms other common classifiers, with sensitivity and specificity of 88.3% (95% CI:81.2%, 93.4%) and 88.9% (95% CI:65.3%, 98.6%), respectively, on an independent cohort. Conclusions: This splice-variant array-based signature shows promise for clinical diagnostic use in AD.
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