[SED-ML-discuss] Compute Mean/Stddev of Stochastic Traces?

[Kyle M. <me...@co...>]

Hi All,

I was just wondering if it is possible to compute the mean and standard 
deviations of stochastic simulations in SED-ML. Frank has a great demo 
<http://sysbioapps.dyndns.org/SED-ML_Web_Tools/Home/SimulateUrl?url=http%3A%2F%2Fsvn.code.sf.net%2Fp%2Flibsedml%2Fcode%2Ftrunk%2FSamples%2Fsedx-archives%2Fnestedv3%2Fv3-example3-repeated-stochastic-runs.sedx> 
of running multiple stochastic traces, but I'm not sure how to extend it 
to allow computing the first two moments. My understanding is that a 
repeated task generates data with one more dimension than the input, so 
Frank's example is essentially flattening the data before plotting it. 
I'm not sure if it's possible to manipulate these higher dimensions in a 
dataGenerator or use some clever MathML to sum along one axis. Any ideas?

Thanks,
Kyle

-- 
J Kyle Medley, PhD Student
Bioengineering/BPSD, Sauro Lab
University of Washington, Seattle
skype: jkylemedley