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Jia, Qidong  
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 More options May 3 2012, 3:49 pm
From: "Jia, Qidong" <qj...@utk.edu>
Date: Thu, 3 May 2012 19:49:05 +0000
Local: Thurs, May 3 2012 3:49 pm
Subject: Pathway Statistics
Hi,

I have a question about the function of Pathway Statistics in PathVisio. After I finished the analysis, a metrics of results is shown.

There is a column called total which shows the total number of genes on the pathway. However, I found the number is not identical to that in the KEGG database.

For instance, the total number of genes in Glycolysis / Gluconeogenesis (ath00010) is 108 while it is 163 in the result metrics.

I don't know where this number comes from.

Thank you!
Qidong


 
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Martina Kutmon  
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 More options May 4 2012, 3:25 am
From: Martina Kutmon <mkut...@gmail.com>
Date: Fri, 4 May 2012 09:25:16 +0200
Local: Fri, May 4 2012 3:25 am
Subject: Re: [wp-discuss] Pathway Statistics

Dear Qidong,

You are right, the column called total should indeed show the total number
of genes in the pathway.
Could you provide the gpml file for that specific pathway?

Best Regards,
Martina

--
*-----------------------------------------------
Martina Kutmon, MSc
email: mkut...@gmail.com
skype: mkutmon*

 
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Martijn van Iersel  
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 More options May 15 2012, 5:47 am
From: Martijn van Iersel <mvanier...@gmail.com>
Date: Tue, 15 May 2012 10:47:24 +0100
Local: Tues, May 15 2012 5:47 am
Subject: Re: [wp-discuss] Pathway Statistics
Hi Oidong,

This may be for a number of reasons. First of all, KEGG pathways link to
enzyme codes. To calculate the number of genes that correspond to
enzyme codes is a non-trivial algorithm that differs somewhat between
KEGG and WikiPathways.

Also, depending on the settings of PathVisio, the number in the result
metrics may be equal to the number of rows in your expression dataset,
not the number of genes in the pathway. If you use for example
affymetrix microarray data, it is more than likely that you have several
rows in your data set that correspond to a single gene, all of which
will be counted in the result metric.

In short, comparing the result metric to the number of genes is not
recommended: it's like comparing apples and oranges.

hope this helps,
Martijn

On 03/05/12 20:49, Jia, Qidong wrote:


 
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