Statistical Analysis of Protein microarray Data: a case study in type 1 diabetes research

: Le Thi Thanh An, Anna Pursiheimo, Robert Moulder, and Laura L. Elo

Publisher: Omics International

: 2014

: Journal of Proteomics and Bioinformatics

: J Proteomics Bioinform

: 3

: 12

DOI: https://doi.org/10.4172/jpb.S12-003

: http://omicsonline.org/open-access/statistical-analysis-of-protein-microarray-data-jpb.S12-003.pdf

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

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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.