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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessReview
Microarrays 2015, 4(3), 389-406; doi:10.3390/microarrays4030389

Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery

1
Keenan and Li Ka Shing Knowledge Institute of Saint Michael’s Hospital, Toronto ON M5B 1W8, Canada
2
Institute of Medical Sciences and Department of Medicine, University of Toronto, Toronto ON M5B 1W8, Canada
3
Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg R3E 0J9, MB, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Quan-Zhen Li
Received: 6 July 2015 / Revised: 16 August 2015 / Accepted: 17 August 2015 / Published: 21 August 2015
(This article belongs to the Special Issue High-Throughput Microarray for Protein Biomarker Discovery)
View Full-Text   |   Download PDF [1263 KB, uploaded 21 August 2015]   |  

Abstract

The diagnostic and prognostic potential of the vast quantity of publicly-available microarray data has driven the development of methods for integrating the data from different microarray platforms. Cross-platform integration, when appropriately implemented, has been shown to improve reproducibility and robustness of gene signature biomarkers. Microarray platform integration can be conceptually divided into approaches that perform early stage integration (cross-platform normalization) versus late stage data integration (meta-analysis). A growing number of statistical methods and associated software for platform integration are available to the user, however an understanding of their comparative performance and potential pitfalls is critical for best implementation. In this review we provide evidence-based, practical guidance to researchers performing cross-platform integration, particularly with an objective to discover biomarkers. View Full-Text
Keywords: microarray platform; meta-analysis; normalization; biomarker microarray platform; meta-analysis; normalization; biomarker
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Walsh, C.J.; Hu, P.; Batt, J.; Santos, C.C.D. Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery. Microarrays 2015, 4, 389-406.

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