Matches in UGent Biblio for { <https://biblio.ugent.be/publication/2043181#aggregation> ?p ?o. }
Showing items 1 to 36 of
36
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B582724.
- aggregation creator B582725.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 2043181.bibtex.
- aggregation hasFormat 2043181.csv.
- aggregation hasFormat 2043181.dc.
- aggregation hasFormat 2043181.didl.
- aggregation hasFormat 2043181.doc.
- aggregation hasFormat 2043181.json.
- aggregation hasFormat 2043181.mets.
- aggregation hasFormat 2043181.mods.
- aggregation hasFormat 2043181.rdf.
- aggregation hasFormat 2043181.ris.
- aggregation hasFormat 2043181.txt.
- aggregation hasFormat 2043181.xls.
- aggregation hasFormat 2043181.yaml.
- aggregation isPartOf urn:issn:0006-341X.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Mathematics and Statistics".
- aggregation title "An omnibus consistent adaptive percentile modified Wilcoxon rank sum test with applications in gene expression studies".
- aggregation abstract "We present an adaptive percentile modified Wilcoxon rank sum test for the two-sample problem. The test is basically a Wilcoxon rank sum test applied on a fraction of the sample observations, and the fraction is adaptively determined by the sample observations. Most of the theory is developed under a location-shift model, but we demonstrate that the test is also meaningful for testing against more general alternatives. The test may be particularly useful for the analysis of massive datasets in which quasi-automatic hypothesis testing is required. We investigate the power characteristics of the new test in a simulation study, and we apply the test to a microarray experiment on colorectal cancer. These empirical studies demonstrate that the new test has good overall power and that it succeeds better in finding differentially expressed genes as compared to other popular tests. We conclude that the new nonparametric test is widely applicable and that its power is comparable to the power of the Baumgartner-Weiß-Schindler test.".
- aggregation authorList BK934853.
- aggregation endPage "454".
- aggregation issue "2".
- aggregation startPage "446".
- aggregation volume "68".
- aggregation aggregates 3000893.
- aggregation isDescribedBy 2043181.
- aggregation similarTo j.1541-0420.2012.01750.x.
- aggregation similarTo LU-2043181.