Evaluating the effect of various background correction methods regarding noise reduction, in two-channel microarray data

Authors:
E. G. Sifakis;A. Prentza;D. Koutsouris;A. A. Chatziioannou
Affiliations:
Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece;Department of Digital Systems, University of Piraeus, Piraeus, Greece;Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece;Institute of Biological Research & Biotechnology, National Hellenic Research Foundation, 48 Vassileos Constantinou Ave., Athens 11635, Greece
Venue:
Computers in Biology and Medicine
Year:
2012

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Abstract

In this work, two novel background correction (BC) methods, along with several commonly used ones, are evaluated regarding noise reduction in eleven two-channel self-versus-self (SVS) hybridizations. The evaluation of each BC method is investigated under the use of four statistical criteria combined into a single measure, the polygon area measure. Overall, our proposed BC approaches perform very well in terms of the proposed measure for most of the cases and provide an improved effect regarding technical noise reduction.