[BioC] Clustering of gene expression data with Pearson coefficient

Yinglei Lai ylai at gwu.edu
Fri Oct 10 16:09:33 CEST 2008


Try this:
----------
x <- array(rnorm(50*30), dim=c(30,50))
plot(hclust(as.dist(1-cor(x))))
----------


Yinglei Lai, Ph.D.
Assistant Professor of Statistics
Department of Statistics, GWU
2140 Pennsylvania Ave. NW
Washington, D.C. 20052
Phone: (202) 994-6664
Fax: (202) 994-6917
E-mail: ylai at gwu.edu

----- Original Message -----
From: Paco Recca <pacorecca at yahoo.it>
Date: Friday, October 10, 2008 10:01 am
Subject: [BioC] Clustering of gene expression data with Pearson coefficient
To: bioconductor at stat.math.ethz.ch


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> Hello!=0A=0ADoes=C2=A0anybody=C2=A0know how to do a cluster using 
> Pearson c=
> orrelation? Is the cor.var function?=0A=0AThanks a lot!=0A-p=0A=0A=0A  
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