Display Settings:

Format

Send to:

Choose Destination
    Bioinformatics. 2009 Feb 15;25(4):541-2. Epub 2008 Dec 19.

    SAFEGUI: resampling-based tests of categorical significance in gene expression data made easy.

    Source

    Department of Environmental Sciences & Engineering, Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA.

    Abstract

    SUMMARY: A large number of websites and applications perform significance testing for gene categories/pathways in microarray data. Many of these packages fail to account for expression correlation between transcripts, with a resultant inflation in Type I error. Array permutation and other resampling-based approaches have been proposed as solutions to this problem. SAFEGUI provides a user-friendly graphical interface for the assessment of categorical significance in microarray studies, while properly accounting for the effects of correlations among genes. SAFEGUI incorporates both permutation and more recently proposed bootstrap algorithms that are demonstrated to be more powerful in detecting differential expression across categories of genes. AVAILABILITY: http://cebc.unc.edu/software/.

    PMID:
    19098030
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC2642635
    Free PMC Article

    Images from this publication.See all images (1) Free text

    Fig. 1.

      Supplemental Content

      Icon for HighWire Press Icon for PubMed Central

      Save items

      loading

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk