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dc.contributor.authorSamdal, Kristian Brakstad
dc.date.accessioned2016-08-18T08:05:35Z
dc.date.available2016-08-18T08:05:35Z
dc.date.issued2016-05-31
dc.date.submitted2016-05-31eng
dc.identifier.urihttps://hdl.handle.net/1956/12640
dc.description.abstractSelGenes is a tool for selecting marker genes for the dominating cell type in heterogeneous samples. Based on a framework from an existing algorithm, SelGenes selects cell-type specific marker genes for the dominating cell-type and uses these marker genes to estimate cell-type proportions in the sample and cell-type specific expression proles. We test the performance of SelGenes on a benchmark set and validate the marker genes against an external database and further apply SelGenes to a real data set containing gene expression data from cancer samples. Compared to an existing method the results from the test were consistently better for SelGenes.en_US
dc.format.extent910814 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.subjectBioinformatikknob
dc.subjectGenekspresjonnob
dc.titleSelGenes: a tool for selecting marker genes in heterogeneous samplesen_US
dc.typeMaster thesis
dc.rights.holderCopyright the Author. All rights reserveden_US
dc.description.degreeMaster i Informatikken_US
dc.description.localcodeMAMN-INF
dc.description.localcodeINF399
dc.subject.realfagstermerhttps://data.ub.uio.no/realfagstermer/c007694
dc.subject.realfagstermerhttps://data.ub.uio.no/realfagstermer/c007208
dc.subject.nus754199eng
fs.subjectcodeINF399


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