[BioC] Tigre Package question

[Antti Honkela]

Dear Anisha,

GPLearn function expects the data (your MyExpressionSet) to be an 
ExpressionTimeSeries object that you can create using functions 
processData() or processRawData(). Can you please make sure you are 
passing it the correct kind of object, as a wrong kind of object could 
cause an error like you describe?

Furthermore, in your example you specify a model with a regulating TF 
but no targets. You should add some targets to get a sensible model. For 
screening candidate targets GPRankTargets() provides an easier option 
than GPLearn().

Thanks a lot for your report, I will update the package to make the 
error message more informative!


Antti


On 2014-02-05 21:47 , Solanki, Anisha wrote:
>
> When I tried to run the GPLearn command with my expression set it gives me an error
>
> model <- GPLearn(MyExpressionSet, TF="ENSMUSG00000001300", useGpdisim=TRUE, quiet=TRUE)
>
> "Error in yvar[[1]] :subscript out of bounds".
>
> Please advise
>
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-- 
Antti Honkela
antti.honkela at hiit.fi   -   http://www.hiit.fi/u/ahonkela/