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DC Field | Value | Language |
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dc.contributor.advisor | Canty, Angelo | - |
dc.contributor.author | Li, Ji | - |
dc.date.accessioned | 2017-03-31T19:53:37Z | - |
dc.date.available | 2017-03-31T19:53:37Z | - |
dc.date.issued | 2008 | - |
dc.identifier.uri | http://hdl.handle.net/11375/21278 | - |
dc.description | Title: Using Smoothing Splines to Select Significant Genes in Microarrays, Author: Ji Li, Location: Thode | en_US |
dc.description.abstract | <p>DNA microarray technology has been widely used in many applications such as gene discovery, disease research and drug investigation. This thesis is based on a project studying the genetics of Type 1 Diabetes.</p> <p>In this thesis we introduce a method to use smoothing splines to select significant genes in microarrays. This method is based on significance analysis of microarrays (SAM). We choose upper and lower significance cut-offs based on when the numerical derivative of the spline exceeds a threshold. We declare that any genes whose observed statistics are less than the lower cut-off or greater than the upper cut-off to be significant. We also explain how to use this method to calculate the number of significant genes and estimate false discovery rates.</p> <p>We use both Affymetrix and Illumina real data sets in our analysis and the results are satisfactory. We try to use the simulation study to test our method but we have a problem that we can not generate simulated data which is similar to the real microarray data.</p> | en_US |
dc.language.iso | en | en_US |
dc.title | Using Smoothing Splines to Select Significant Genes in Microarrays | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Statistics | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MS) | en_US |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Li_Ji_2008_master.pdf | Title: Using Smoothing Splines to Select Significant Genes in Microarrays, Author: Ji Li, Location: Thode | 12.71 MB | Adobe PDF | View/Open |
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