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Stochastic modelling and differential expression analysis

First of all, consider that I am nothing but a famous musician so you'll pardon my incorrect jargon from time to time. it seems that the stochastic modelling could be useful when the one is interested in addressing the reasons why a specific cell line in the same conditions provide a different "Behaviour", isn't it? Why a colleague of mine suggested me, the other day, to broach one day the stochastic modelling as a logical consequence of my RNA-seq analysis?

Thanks,

rna-seq
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written by Mozart Mozart

Your question needs clarification. What's your data and what do you want to model with it ?

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written by Jean-Karim Heriche Jean-Karim Heriche

So I need to address biological questions regarding a specific molecule very important in immunity. My objective is to use a bioinfomatics approach to study all the pathways linked to this molecule.

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written by Mozart Mozart

What kind of information can this approach may add , generally speaking? It's not easy for me to understand from the articles on the net.

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written by Mozart Mozart

Which approach ? On which data ? Stochastic modelling is a very broad term, it can cover any method that uses a probabilistic approach.

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written by Jean-Karim Heriche Jean-Karim Heriche

This post does not ask an answerable question. If you are, for example, looking for specific resources or techniques, that could be a valid question, but you're going to have to provide a lot more information to get good answers.

For this reason we have closed your question. This allows us to keep the site focused on the topics that the community can help with.

Please feel free to try again with a more detailed and specific question!

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written by Chris Miller Chris Miller

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