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

Sifakis, EG; Prentza, A; Koutsouris, D; Chatziioannou, AA

dc.contributor.author	Sifakis, EG	en
dc.contributor.author	Prentza, A	en
dc.contributor.author	Koutsouris, D	en
dc.contributor.author	Chatziioannou, AA	en
dc.date.accessioned	2014-03-01T02:08:53Z
dc.date.available	2014-03-01T02:08:53Z
dc.date.issued	2012	en
dc.identifier.issn	00104825	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29745
dc.subject	Background estimation	en
dc.subject	DNA microarrays	en
dc.subject	Normalization techniques	en
dc.subject	Self-versus-self hybridizations	en
dc.subject	Transcriptomic analysis	en
dc.subject.other	Background estimation	en
dc.subject.other	DNA microarrays	en
dc.subject.other	Normalization techniques	en
dc.subject.other	Self-versus-self hybridizations	en
dc.subject.other	Transcriptomic analysis	en
dc.subject.other	Acoustic noise measurement	en
dc.subject.other	Biochips	en
dc.subject.other	Bioassay	en
dc.subject.other	article	en
dc.subject.other	background selection	en
dc.subject.other	DNA microarray	en
dc.subject.other	hybridization	en
dc.subject.other	measurement	en
dc.subject.other	microarray analysis	en
dc.subject.other	noise reduction	en
dc.subject.other	priority journal	en
dc.subject.other	Animals	en
dc.subject.other	Arabidopsis	en
dc.subject.other	Computational Biology	en
dc.subject.other	Data Interpretation, Statistical	en
dc.subject.other	Databases, Genetic	en
dc.subject.other	Gene Expression Profiling	en
dc.subject.other	Humans	en
dc.subject.other	Mice	en
dc.subject.other	Oligonucleotide Array Sequence Analysis	en
dc.title	Evaluating the effect of various background correction methods regarding noise reduction, in two-channel microarray data	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compbiomed.2011.10.003	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.compbiomed.2011.10.003	en
heal.publicationDate	2012	en
heal.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. © 2011 Elsevier Ltd.	en
heal.journalName	Computers in Biology and Medicine	en
dc.identifier.doi	10.1016/j.compbiomed.2011.10.003	en
dc.identifier.volume	42	en
dc.identifier.issue	1	en
dc.identifier.spage	19	en
dc.identifier.epage	29	en