A theoretical analysis of the selection of differentially expressed genes.
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data ("gene selection"). Numerous gene selection algorithms have been proposed in the literature, but it is often unclear exactly how these algorithms respond to...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2005
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| _version_ | 1826257814347055104 |
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| author | Mukherjee, S Roberts, S |
| author_facet | Mukherjee, S Roberts, S |
| author_sort | Mukherjee, S |
| collection | OXFORD |
| description | A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data ("gene selection"). Numerous gene selection algorithms have been proposed in the literature, but it is often unclear exactly how these algorithms respond to conditions like small sample sizes or differing variances. Choosing an appropriate algorithm can therefore be difficult in many cases. In this paper we propose a theoretical analysis of gene selection, in which the probability of successfully selecting differentially expressed genes, using a given ranking function, is explicitly calculated in terms of population parameters. The theory developed is applicable to any ranking function which has a known sampling distribution, or one which can be approximated analytically. In contrast to methods based on simulation, the approach presented here is computationally efficient and can be used to examine the behavior of gene selection algorithms under a wide variety of conditions, even when the number of genes involved runs into the tens of thousands. The utility of our approach is illustrated by comparing three widely-used gene selection methods. |
| first_indexed | 2024-03-06T18:24:07Z |
| format | Journal article |
| id | oxford-uuid:07576e79-aa26-44db-925c-c509c08cd80c |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:24:07Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | oxford-uuid:07576e79-aa26-44db-925c-c509c08cd80c2022-03-26T09:07:04ZA theoretical analysis of the selection of differentially expressed genes.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:07576e79-aa26-44db-925c-c509c08cd80cEnglishSymplectic Elements at Oxford2005Mukherjee, SRoberts, SA great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data ("gene selection"). Numerous gene selection algorithms have been proposed in the literature, but it is often unclear exactly how these algorithms respond to conditions like small sample sizes or differing variances. Choosing an appropriate algorithm can therefore be difficult in many cases. In this paper we propose a theoretical analysis of gene selection, in which the probability of successfully selecting differentially expressed genes, using a given ranking function, is explicitly calculated in terms of population parameters. The theory developed is applicable to any ranking function which has a known sampling distribution, or one which can be approximated analytically. In contrast to methods based on simulation, the approach presented here is computationally efficient and can be used to examine the behavior of gene selection algorithms under a wide variety of conditions, even when the number of genes involved runs into the tens of thousands. The utility of our approach is illustrated by comparing three widely-used gene selection methods. |
| spellingShingle | Mukherjee, S Roberts, S A theoretical analysis of the selection of differentially expressed genes. |
| title | A theoretical analysis of the selection of differentially expressed genes. |
| title_full | A theoretical analysis of the selection of differentially expressed genes. |
| title_fullStr | A theoretical analysis of the selection of differentially expressed genes. |
| title_full_unstemmed | A theoretical analysis of the selection of differentially expressed genes. |
| title_short | A theoretical analysis of the selection of differentially expressed genes. |
| title_sort | theoretical analysis of the selection of differentially expressed genes |
| work_keys_str_mv | AT mukherjees atheoreticalanalysisoftheselectionofdifferentiallyexpressedgenes AT robertss atheoreticalanalysisoftheselectionofdifferentiallyexpressedgenes AT mukherjees theoreticalanalysisoftheselectionofdifferentiallyexpressedgenes AT robertss theoreticalanalysisoftheselectionofdifferentiallyexpressedgenes |