How to calculate Pearson coefficient between 2 genes in a group including 1500 genes?
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xpzhang ▴ 90
@xpzhang-780
Last seen 9.7 years ago
Hello, I encountered a big difficult question now. I have a gene expression prifile, which incoulded 1500 gene and 20 treatment. I wanted to calculate the Pearson coefficient between any gene-pairs in the 1500 gene. Firstly, I tried to use SAS 6.12 to do it. But I found that SAS can not read the all data, and it can only read 15 rows data. I don't know which tools I could use. Could anyone tell me? Thank you very much! -- Xiaopeng ZHANG<xpzhang@genetics.ac.cn>
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Antoine Lucas ▴ 100
@antoine-lucas-1127
Last seen 9.7 years ago
On Tue, 01 Mar 2005 18:52:09 +0800 xpzhang <xpzhang@genetics.ac.cn> wrote: > Hello, > > I encountered a big difficult question now. I have a gene expression > prifile, which incoulded 1500 gene and 20 treatment. I wanted to > calculate the Pearson coefficient between any gene-pairs in the 1500 > gene. I think function Dist from package amap does this matrix library(amap) Dist(data,method="pearson") or Dist(t(data),method="pearson") > Firstly, I tried to use SAS 6.12 to do it. But I found that SAS can not > read the all data, and it can only read 15 rows data. Well, this surprise me ! are you sure that data are not corrupted ? Regards. Antoine Lucas. -- Antoine Lucas Centre de g?n?tique Mol?culaire, CNRS 91198 Gif sur Yvette Cedex Tel: (33)1 69 82 38 89 Fax: (33)1 69 82 38 77
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On Tue, Mar 01, 2005 at 11:06:09AM +0100, Antoine Lucas wrote: > On Tue, 01 Mar 2005 18:52:09 +0800 > xpzhang <xpzhang@genetics.ac.cn> wrote: > > > Firstly, I tried to use SAS 6.12 to do it. But I found that SAS can not > > read the all data, and it can only read 15 rows data. > > Well, this surprise me ! are you sure that data are not corrupted ? This cannot be true. You must do something wrongg - at least if the problem is reading the data. I do not know how you calculate the paired correlations, so I guess you could run into a memory problem (although I find that highly unlikely). Not that I want you to use SAS of course :) -- Kasper Daniel Hansen, Research Assistant Department of Biostatistics, University of Copenhagen
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