Comparison of background correction in tiling arrays and a spatial model

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Show simple item record Maurer, Dustin 2011-09-02T13:42:34Z 2011-09-02T13:42:34Z 2011-09-02
dc.description.abstract DNA hybridization microarray technologies have made it possible to gain an unbiased perspective of whole genome transcriptional activity on such a scale that is increasing more and more rapidly by the day. However, due to biologically irrelevant bias introduced by the experimental process and the machinery involved, correction methods are needed to restore the data to its true biologically meaningful state. Therefore, it is important that the algorithms developed to remove any sort of technical biases are accurate and robust. This report explores the concept of background correction in microarrays by using a real data set of five replicates of whole genome tiling arrays hybridized with genetic material from Tribolium castaneum. It reviews the literature surrounding such correction techniques and explores some of the more traditional methods through implementation on the data set. Finally, it introduces an alternative approach, implements it, and compares it to the traditional approaches for the correction of such errors. en_US
dc.description.sponsorship Kansas IDeA Network of Biomedical Research Excellence; Arthropod Genomics Center Kansas State University en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Tiling Array en_US
dc.subject Generalized Additive Model en_US
dc.subject Background Correction en_US
dc.subject Spatial Model en_US
dc.title Comparison of background correction in tiling arrays and a spatial model en_US
dc.type Report en_US Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Statistics en_US
dc.description.advisor Susan J. Brown en_US
dc.description.advisor Haiyan Wang en_US
dc.subject.umi Bioinformatics (0715) en_US
dc.subject.umi Statistics (0463) en_US 2011 en_US August en_US

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