Next Article in Journal
The Role of Constitutional Copy Number Variants in Breast Cancer
Next Article in Special Issue
Aptamer-Based Screens of Human Body Fluids for Biomarkers
Previous Article in Journal
SPOTing Acetyl-Lysine Dependent Interactions
Please note that, as of 18 July 2017, Microarrays has been renamed to High-Throughput and is now published here.
Open AccessReview

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
Microarrays 2015, 4(3), 389-406; https://doi.org/10.3390/microarrays4030389
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)
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
Show Figures

Figure 1

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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop