Question: Microarray time-course clustering, using "hclust" in masigPro
gravatar for dimitri.leonid.lindenwald
4.3 years ago by

Dear All, 

i have performed a time-course microarray experiment, found differentially expressed genes, and now intend to cluster those by their expression pattern over the time. 
maSigPro provides a way for hierarchical clustering via "hclust" method.

however the number of clusters that it forms is not deriven from the data but authomatically set to 9. It also is possible to define the number with "k". I thought the idea of hierarchical clustering is that the result is estimated from the data? 
Is there something that i miss? 

An alternative approach would be to use "kmeans" clustering with a k determined by a v-Fold Cross-Validation.
Are there any easy to use packages that could perform it, that you would suggest? 



clustering masigpro hclust • 913 views
ADD COMMENTlink modified 3.7 years ago by efejiroe0 • written 4.3 years ago by dimitri.leonid.lindenwald50
Answer: Microarray time-course clustering, using "hclust" in masigPro
gravatar for efejiroe
3.7 years ago by
efejiroe0 wrote:

Include "k=[your value]" in the functions input parameters in either masigpro wrapper function or see.genes function. Used it in the later case and it worked for me. Hope this helps.

ADD COMMENTlink written 3.7 years ago by efejiroe0
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