Mulcom: a multiple comparison statistical test for microarray data in Bioconductor.

ABSTRACT:

Background

Many microarray experiments search for genes with differential expression between a common "reference" group and multiple "test" groups. In such cases currently employed statistical approaches based on t-tests or close derivatives have limited efficacy, mainly because estimation of the standard error is done on only two groups at a time. Alternative approaches based on ANOVA correctly capture within-group variance from all the groups, but then do not confront single test groups with the reference. Ideally, a t-test better suited for this type of data would compare each test group with the reference, but use within-group variance calculated from all the groups.

Results

We implemented an R-Bioconductor package named Mulcom, with a statistical test derived from the D

SUBMITTER: Isella C 

PROVIDER: S-EPMC3230912 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature