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dc.contributor.authorOmar, Salem Baans-
dc.contributor.authorAsral Bahari, Jambek-
dc.date.accessioned2018-08-17T07:47:05Z-
dc.date.available2018-08-17T07:47:05Z-
dc.date.issued2018-
dc.identifier.citationJournal of Engineering Research and Education, vol.10(1), 2018, pages 27-36 (Special Issue on Bioprocess & Biosystem Engineering and their Downstream Processing)en_US
dc.identifier.issn1823-2981-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/55035-
dc.descriptionLink to publisher's homepage at http://jere.unimap.edu.myen_US
dc.description.abstractMost microarray image scanning approaches provide an estimation of the intensity of the foreground and background for each spot. Background intensity must be corrected in order to remove the effect of the non‐specific binding or spatial heterogeneity across the array, but when such corrections are applied many problems appear, such as negative intensity for the spot or high variability of low‐intensity log ratios. In this paper, many alternative methods for calculating background intensity are discussed and many approaches for background correction are tested and compared. GenePix, ScanAlyze and QuantArry are the methods reviewed for background intensity extraction. Four methods for background correction were examined and the Edwards method was found to be the best and most suitable method.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectMicroarray Imagingen_US
dc.subjectBackground Correctionen_US
dc.subjectDNAen_US
dc.subjectEdward Methoden_US
dc.titleAnalysis of Background Correction Methods for DNA Microarray Imagingen_US
dc.typeArticleen_US
dc.identifier.urlhttp://jere.unimap.edu.my/-
dc.contributor.urlomersalim4901@gmail.comen_US
Appears in Collections:Journal of Engineering Research and Education (JERE)

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