DNA微陣列基因多重檢定比較之問題

碩士 === 國立政治大學 === 統計研究所 === 90 === cDNA microarray technology provides tools to study thousands of genes simultaneously. Since a large number of genes are compared, using a conventional significant test leads to the increase of the type I error rate. To avoid the inflation, the adjustment for mu...

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Main Authors: Ya-hui Lin, 林雅惠
Other Authors: Hui-min Hsueh
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/88572570284713155600
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spelling ndltd-TW-090NCCU53370012016-06-27T16:09:32Z http://ndltd.ncl.edu.tw/handle/88572570284713155600 DNA微陣列基因多重檢定比較之問題 Ya-hui Lin 林雅惠 碩士 國立政治大學 統計研究所 90 cDNA microarray technology provides tools to study thousands of genes simultaneously. Since a large number of genes are compared, using a conventional significant test leads to the increase of the type I error rate. To avoid the inflation, the adjustment for multiplicity should be considered and a multiple comparison procedure (MCP) that controls the familywise error rate (FWE) is recommended. However, the conservativeness of a MCP that controls FWE becomes more and more severe as the number of comparisons (genes) increases. Instead of FWE, Benjamini and Hochberg (1995) recommended to control the expected proportion of falsely rejecting hypotheses─the false discovery rate (FDR)─and developed a MCP, which has its FDR under control. In this paper, the error rates CWE, FWE and FDR are fully introduced. A new MCP with FDR controlled is developed and its performance is investigated through intensive simulations. KEY WORDS:Comparison-wise error rate (CWE);Familywise error rate (FWE);Multiple comparison procedure (MCP);False discovery rate (FDR). Hui-min Hsueh 薛慧敏 老師 2003 學位論文 ; thesis 55 zh-TW
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description 碩士 === 國立政治大學 === 統計研究所 === 90 === cDNA microarray technology provides tools to study thousands of genes simultaneously. Since a large number of genes are compared, using a conventional significant test leads to the increase of the type I error rate. To avoid the inflation, the adjustment for multiplicity should be considered and a multiple comparison procedure (MCP) that controls the familywise error rate (FWE) is recommended. However, the conservativeness of a MCP that controls FWE becomes more and more severe as the number of comparisons (genes) increases. Instead of FWE, Benjamini and Hochberg (1995) recommended to control the expected proportion of falsely rejecting hypotheses─the false discovery rate (FDR)─and developed a MCP, which has its FDR under control. In this paper, the error rates CWE, FWE and FDR are fully introduced. A new MCP with FDR controlled is developed and its performance is investigated through intensive simulations. KEY WORDS:Comparison-wise error rate (CWE);Familywise error rate (FWE);Multiple comparison procedure (MCP);False discovery rate (FDR).
author2 Hui-min Hsueh
author_facet Hui-min Hsueh
Ya-hui Lin
林雅惠
author Ya-hui Lin
林雅惠
spellingShingle Ya-hui Lin
林雅惠
DNA微陣列基因多重檢定比較之問題
author_sort Ya-hui Lin
title DNA微陣列基因多重檢定比較之問題
title_short DNA微陣列基因多重檢定比較之問題
title_full DNA微陣列基因多重檢定比較之問題
title_fullStr DNA微陣列基因多重檢定比較之問題
title_full_unstemmed DNA微陣列基因多重檢定比較之問題
title_sort dna微陣列基因多重檢定比較之問題
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/88572570284713155600
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