A2 Refereed review article in a scientific journal
Statistical Analysis of Protein microarray Data: a case study in type 1 diabetes research
Authors: Le Thi Thanh An, Anna Pursiheimo, Robert Moulder, and Laura L. Elo
Publisher: Omics International
Publication year: 2014
Journal: Journal of Proteomics and Bioinformatics
Journal acronym: J Proteomics Bioinform
Volume: 3
Issue: 12
DOI: https://doi.org/10.4172/jpb.S12-003
Web address : http://omicsonline.org/open-access/statistical-analysis-of-protein-microarray-data-jpb.S12-003.pdf
Abstract
In this report we provide an overview of protein microarrays and devote particular consideration to the statistical
methods used in data analysis with applications concerning the study of type 1 diabetes. The latter methodologies
are illustrated with publically available data from a study that identified novel type 1 diabetes associated autoanti
-
bodies. Amongst the methods employed, Reproducibility-Optimized Test Statistic (ROTS) shows better detection
over the widely used LIMMA. With the application of this analytical approach, we identify new protein biomarkers
that were not previously reported in original investigation. This observation emphasises the benefit of using different
methods to extract critical information in the analysis of microarray data.
In this report we provide an overview of protein microarrays and devote particular consideration to the statistical
methods used in data analysis with applications concerning the study of type 1 diabetes. The latter methodologies
are illustrated with publically available data from a study that identified novel type 1 diabetes associated autoanti
-
bodies. Amongst the methods employed, Reproducibility-Optimized Test Statistic (ROTS) shows better detection
over the widely used LIMMA. With the application of this analytical approach, we identify new protein biomarkers
that were not previously reported in original investigation. This observation emphasises the benefit of using different
methods to extract critical information in the analysis of microarray data.
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