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...

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Publicado en:Journal of Biomedicine & Biotechnology pp. 9p - 10
Autores principales: Stiglic G, Kokol P
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2010
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2010/616358
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      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
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