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Re: [stem-dev] stem-dev Digest, Vol 97, Issue 2

Hi Jamie,

Thanks, that's all very helpful. 

One of my models will be stochastic so I will need to use a seed. The default seed on the disease models seems to be 1, whereas it is 17 on the stochastic solver. Does the number itself make a difference or is it just an ID code? Should I set the seed number for the disease model and the stochastic solver to be the same? Once I've run a model with a particular seed, do I then need to pick a new number when running another model? 

Best wishes,

Emily


On 3 May 2017 at 18:15, James Kaufman <jhkauf@xxxxxxxxxx> wrote:
Hi Emily,
The nonlinearity coefficient is for those that want to model the mass action term as (SI)y
where y is the nonlinearity exponent.
For all of your models you want y=1.0 (ie not a power law) so the interaction term is just SI
We can discuss why some models put this in but I don't think it is something you will have to worry about.

Random seed will not matter if you are running a deterministic model. For a stochastic model being able to set the seed for the random number generator makes it possible to reproduce a run (with noise) exactly, and of course to change it over multiple runs. In fact, the new stochastic solver may set this seed separately. Stochasticity used for be an optional part of DiseaseModel but it made more sense to move it to the solver itself.


Best Regards,
Jamie

IBM Almaden Research Center, 650 Harry Rd.
San Jose, CA 95120-6099
email: jhkauf@xxxxxxxxxx
phone: (408) 927-2477  (tie 457-2477)





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Subject:        stem-dev Digest, Vol 97, Issue 2
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Today's Topics:

  1. Non-linearity coefficient and random seed parameters (Emily Nixon)


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Message: 1
Date: Wed, 3 May 2017 16:03:13 +0100
From: Emily Nixon <emily.nixon@xxxxxxxxxxxxx>
To: stem-dev@xxxxxxxxxxx
Subject: [stem-dev] Non-linearity coefficient and random seed
                parameters
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Hi all,

Could someone explain to me what the "Non-linearity coefficient" and the
"Random seed" parameters for the disease models are? I was just using the
default values for my test model, but I need to use more accurate values
now.

Best wishes,

Emily

--
*Emily Nixon*
*PhD Student*
Demonstrator

School of Biological Sciences

University of Bristol
Bristol Life Sciences Building
24 Tyndall Avenue
Bristol
BS8 1TQ

Tel +44 (0)117 394 41389
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--
Emily Nixon
PhD Student
Demonstrator 

School of Biological Sciences

University of Bristol
Bristol Life Sciences Building
24 Tyndall Avenue
Bristol
BS8 1TQ

Tel +44 (0)117 394 41389


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