[Biopython] Markov modelling

[Chris Mitchell]

Hi George,

A few things I would do:
1) Make a spare dataset by randomly selecting a subset of your data to
visualize.  Just blindly fitting the data points to any distribution
usually doesn't end well.
2) Find a copy of Numerical Recipes and read up on fitting data/modeling.
 There is a good section on Markov Models and other fitting routines.
3) Think about what you are trying to fit.  Is the process generating the
data a Poisson Process?  What sort of equation should be used to model it,
and what do the extracted parameters mean in relation to your data?  Start
with the simplest model you can explain (linear) and add/change parameters
only if you can justify it.

Chris

On Sat, Aug 11, 2012 at 5:37 PM, George Devaniranjan <devaniranjan at gmail.com
> wrote:

> Hi,
>
> I am sorry, I know this is not the appropriate forum for asking this
> question but I am not sure which is, so please pardon me for asking this
> here.
> Any help in this matter would be much appreciated.
>
> I have some data that is quite large and I wish to find the relationship
> between them but doing it by visual inspection is not possible.
> I was told maybe Markov modelling might help.
> My question is, is there a simple modelling tool that is out there I can
> use to do Markov modelling? I would appreciate any help in this as I am
> completely out of my depth in this question.
>
> Thank you very much and once again my apologies for asking this question in
> this forum.
>
> George
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