Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat

• Published in: BMC bioinformatics Vol. 16; no. 1; p. 63
• Main Authors: Stein, Caleb K, Qu, Pingping, Epstein, Joshua, Buros, Amy, Rosenthal, Adam, Crowley, John, Morgan, Gareth, Barlogie, Bart
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 25.02.2015; BioMed Central
• Subjects: Algorithms; Analysis; Bone Marrow - metabolism; Complications and side effects; Data Interpretation, Statistical; Gene expression; Gene Expression Profiling - standards; Humans; Medical research; Medicine, Experimental; Methodology; Microarray Analysis - methods; Multiple myeloma; Plasma Cells - metabolism
• ISSN: 1471-2105; 1471-2105
• DOI: 10.1186/s12859-015-0478-3

Gene expression profiling (GEP) via microarray analysis is a widely used tool for assessing risk and other patient diagnostics in clinical settings. However, non-biological factors such as systematic changes in sample preparation, differences in scanners, and other potential batch effects are often...