Dear all,
I'm working on reconstruction and analysis of a co-expression network of a signal 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. For example 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?
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written
by
f.dehghanian68 •
1 answer
You can construct co-expression networks from your gene expression experiments with various methods with InSyBio BioNets (a demo is available here 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 meaningful results. For more details read the relevant white paper: http://insybio.com/pages/bionets
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written
by
k.theofilatos •
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