Assessing statistical significance in microarray experiments using the distance between microarrays.
Where this comes from
- Record sourced from PubMed, PMID 19529777.
- Also identified by DOI 10.1371/journal.pone.0005838 and PMC identifier 2691999.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We propose permutation tests based on the pairwise distances between microarrays to compare location, variability, or equivalence of gene expression between two populations. For these tests the entire microarray or some pre-specified subset of genes is the unit of analysis. The pairwise distances only have to be computed once so the procedure is not computationally intensive despite the high dimensionality of the data. An R software package, permtest, implementing the method is freely available from the Comprehensive R Archive Network at http://cran.r-project.org.
Medical subject headings
- Gene Expression Profiling
- Oligonucleotide Array Sequence Analysis