title: Evaluating the effect of various background correction methods regarding noise reduction, in two-channel microarray data.
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.
authors.affiliation: Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Greece.
authors.forename: E G
authors.initials: EG
authors.lastname: Sifakis
authors.forename: A
authors.initials: A
authors.lastname: Prentza
authors.forename: D
authors.initials: D
authors.lastname: Koutsouris
authors.forename: A A
authors.initials: AA
authors.lastname: Chatziioannou
mesh_terms: D000818:Animals; D017360:Arabidopsis / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D051379:Mice; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*