Difference between revisions of "Rank Product analysis"
From Organic Design wiki
m |
|||
| Line 1: | Line 1: | ||
| − | =Rank products: a simple, yet powerful, new method to detect | + | =Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments= |
| − | differentially regulated genes in replicated microarray experiments= | ||
''Rainer Breitling, Patrick Armengauda, Anna Amtmanna, Pawel Herzykb'' | ''Rainer Breitling, Patrick Armengauda, Anna Amtmanna, Pawel Herzykb'' | ||
| + | ==Overview== | ||
| + | RAnk Product is a non parametric statistical method of analysing microarray data. It assumes that under the null hypothesis, the order of all items is random, and the probability of findng a specific item among the top ''r'' of ''n'' items in a alist is ''p = r/n''. | ||
=See also= | =See also= | ||
*[http://www.brc.dcs.gla.ac.uk/~rb106x/publications/RankProducts_FEBS.pdf Publication] | *[http://www.brc.dcs.gla.ac.uk/~rb106x/publications/RankProducts_FEBS.pdf Publication] | ||
*[http://www.bioconductor.org/packages/1.9/bioc/html/RankProd.html rankProd BioC package] | *[http://www.bioconductor.org/packages/1.9/bioc/html/RankProd.html rankProd BioC package] | ||
Revision as of 21:03, 5 March 2007
Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments
Rainer Breitling, Patrick Armengauda, Anna Amtmanna, Pawel Herzykb
Overview
RAnk Product is a non parametric statistical method of analysing microarray data. It assumes that under the null hypothesis, the order of all items is random, and the probability of findng a specific item among the top r of n items in a alist is p = r/n.
