Stability of ranked gene lists in large microarray analysis studies.
This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets. Unlike other similar studies where number of genes in a ranked gene list is variable, this study uses an alternativ...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 9p - 10 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105082286&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105082286 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2010 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105082286 2010748641 10.1155/2010/616358 NLM20625502 PMC2896709 105082286 ppf: 9p ppct: 1 formats: fmt: @attributes: type: P tig: atl: Stability of ranked gene lists in large microarray analysis studies. aug: au: Stiglic G Kokol P affil: Faculty of Health Sciences, Research Institute, University of Maribor, Zitna ulica 15, Maribor, Slovenia. gregor.stiglic@uni-mb.si sug: subj: Genes Genetic Techniques Stability Bioinformatics Funding Source Human ab: This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets. Unlike other similar studies where number of genes in a ranked gene list is variable, this study uses an alternative approach where stability is observed at different number of samples that are used for gene selection. Three different metrics of stability, including a novel metric in bioinformatics, were used to estimate the stability of the ranked gene lists. Results of this study demonstrate that the univariate selection methods produce significantly more stable ranked gene lists than the multivariate selection methods used in this study. More specifically, thousands of samples are needed for these multivariate selection methods to achieve the same level of stability any given univariate selection method can achieve with only hundreds. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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