[BioC] Clustering of gene expression data with Pearson coefficient

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

> MIME-Version: 1.0
> Content-Type: multipart/alternative; boundary="0-984796679-1223646820=:63667"
> 
> --0-984796679-1223646820=:63667
> Content-Type: text/plain; charset=utf-8
> Content-Transfer-Encoding: quoted-printable
> 
> 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  
>     =
> 
> one.=0A
> --0-984796679-1223646820=:63667
> Content-Type: text/html; charset=utf-8
> Content-Transfer-Encoding: quoted-printable
> 
> <html><head><style type=3D"text/css"><!-- DIV {margin:0px;} --></style></he=
> ad><body><div style=3D"font-family:times new roman, new york, times, serif;=
> font-size:12pt"><DIV>Hello!</DIV>=0A<DIV> </DIV>=0A<DIV>Does anyb=
> ody know how to do a cluster using Pearson correlation? Is the cor.var=
>  function?</DIV>=0A<DIV> </DIV>=0A<DIV>Thanks a lot!</DIV>=0A<DIV>-p</=
> DIV></div><br>=0A=0A=0A=0A      <hr size=3D1><font face=3D"Arial" size=3D"2=
> ">Scopri il 
> SIG=3D11djrg460/**http%3A%2F%2Fwww.ymailblogit.com%2Fblog%2F"> Blog di 
> Yaho=
> o! Mail</a>: trucchi, novit=C3=A0, consigli... e scrivi la tua opinione!</f=
> ont></body></html>
> --0-984796679-1223646820=:63667--
> 
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at stat.math.ethz.ch
> 
> Search the archives: