Supervised normalization of microarrays.

Publication Type:

Journal Article

Source:

Bioinformatics (Oxford, England), Volume 26, Issue 10, p.1308-15 (2010)

Keywords:

2010, Algorithms, Center-Authored Paper, Clinical Research Division, Computational Biology, Gene Expression Profiling, Genomics Core Facility, Human Biology Division, Oligonucleotide Array Sequence Analysis, Shared Resources

Abstract:

A major challenge in utilizing microarray technologies to measure nucleic acid abundances is 'normalization', the goal of which is to separate biologically meaningful signal from other confounding sources of signal, often due to unavoidable technical factors. It is intuitively clear that true biological signal and confounding factors need to be simultaneously considered when performing normalization. However, the most popular normalization approaches do not utilize what is known about the study, both in terms of the biological variables of interest and the known technical factors in the study, such as batch or array processing date.