A constrained polynomial regression procedure for estimating the local False Discovery Rate
<p>Abstract</p> <p>Background</p> <p>In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (<it>lFDR</it>), which quantifies the evidence of a specific gene a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2007-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/8/229 |
| _version_ | 1818472193931083776 |
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| author | Broët Philippe Bar-Hen Avner Dalmasso Cyril |
| author_facet | Broët Philippe Bar-Hen Avner Dalmasso Cyril |
| author_sort | Broët Philippe |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (<it>lFDR</it>), which quantifies the evidence of a specific gene association with a clinical or biological variable of interest, is a relevant criterion for taking into account the multiple testing problem. The <it>lFDR </it>not only allows an inference to be made for each gene through its specific value, but also an estimate of Benjamini-Hochberg's False Discovery Rate (<it>FDR</it>) for subsets of genes.</p> <p>Results</p> <p>In the framework of estimating procedures without any distributional assumption under the alternative hypothesis, a new and efficient procedure for estimating the <it>lFDR </it>is described. The results of a simulation study indicated good performances for the proposed estimator in comparison to four published ones. The five different procedures were applied to real datasets.</p> <p>Conclusion</p> <p>A novel and efficient procedure for estimating <it>lFDR </it>was developed and evaluated.</p> |
| first_indexed | 2024-04-14T04:03:24Z |
| format | Article |
| id | doaj.art-2edef9b9918041c79c258b4516e6db12 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-04-14T04:03:24Z |
| publishDate | 2007-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-2edef9b9918041c79c258b4516e6db122022-12-22T02:13:28ZengBMCBMC Bioinformatics1471-21052007-06-018122910.1186/1471-2105-8-229A constrained polynomial regression procedure for estimating the local False Discovery RateBroët PhilippeBar-Hen AvnerDalmasso Cyril<p>Abstract</p> <p>Background</p> <p>In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (<it>lFDR</it>), which quantifies the evidence of a specific gene association with a clinical or biological variable of interest, is a relevant criterion for taking into account the multiple testing problem. The <it>lFDR </it>not only allows an inference to be made for each gene through its specific value, but also an estimate of Benjamini-Hochberg's False Discovery Rate (<it>FDR</it>) for subsets of genes.</p> <p>Results</p> <p>In the framework of estimating procedures without any distributional assumption under the alternative hypothesis, a new and efficient procedure for estimating the <it>lFDR </it>is described. The results of a simulation study indicated good performances for the proposed estimator in comparison to four published ones. The five different procedures were applied to real datasets.</p> <p>Conclusion</p> <p>A novel and efficient procedure for estimating <it>lFDR </it>was developed and evaluated.</p>http://www.biomedcentral.com/1471-2105/8/229 |
| spellingShingle | Broët Philippe Bar-Hen Avner Dalmasso Cyril A constrained polynomial regression procedure for estimating the local False Discovery Rate BMC Bioinformatics |
| title | A constrained polynomial regression procedure for estimating the local False Discovery Rate |
| title_full | A constrained polynomial regression procedure for estimating the local False Discovery Rate |
| title_fullStr | A constrained polynomial regression procedure for estimating the local False Discovery Rate |
| title_full_unstemmed | A constrained polynomial regression procedure for estimating the local False Discovery Rate |
| title_short | A constrained polynomial regression procedure for estimating the local False Discovery Rate |
| title_sort | constrained polynomial regression procedure for estimating the local false discovery rate |
| url | http://www.biomedcentral.com/1471-2105/8/229 |
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