Question: Limitations of samples for co-expression network analysis
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gravatar for f.dehghanian68
3.7 years ago by
‌Iran
f.dehghanian6830 wrote:

Dear all, 

I'm working on reconstruction and analysis of a co-expression network of a siganl pathway in breast tumor. I have GEO data just for 10 patients with breast tumors with specified features. Are these number of sample suitable for network analysis? Is this network acceptable? 

 

On the other hand I want to reconstruct a co-expression network for differentiation of ESCs to neural cells. GEO data is limited for this study. forexample I have a dataset which contains expression profile of 4 days of differentiation , each contains 3 replicates. Is it a good dataset for my analysis for reconstruction of network.??

 

ADD COMMENTlink modified 3.3 years ago by k.theofilatos10 • written 3.7 years ago by f.dehghanian6830
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gravatar for k.theofilatos
3.3 years ago by
k.theofilatos10 wrote:

You can construct co-expression networks from your gene expression experiments with various methods with InSyBio BioNets (a demo is available here http://demo.insybio.com and you can request for a free one month access at info@insybio.com). Our experimental results indicated that at least 5 samples are needed to acquire miningful results. For more details read the relevant white paper: http://insybio.com/pages/bionets 

ADD COMMENTlink written 3.3 years ago by k.theofilatos10
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