Work

Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes

Year: 2007

Type: article

Abstract: Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used to correct relative gene expression values for biases. Here we outline a normalization method for use when the assumptions of lowess normalization fail. Specifically, this can occur when specialized boutique arrays are constructed that contain a subset of genes selected to test particular biological functions.

Source: Genome biology

DOI: 10.1186/gb-2007-8-1-r2

Authors: Alicia Oshlack, Dianne Emslie, Lynn M Corcoran, Gordon K Smyth

Institution: Walter and Eliza Hall Institute of Medical Research

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $5,490

Funder: National Health and Medical Research Council