結果:
Join us for a hands-on workshop focussing on Global Sensitivity Analysis (GSA) for QSP using SimBiology. This complimentary session aims to give you theoretical background and hands-on experience with GSA methods.
🗓️ Event Details: June 25, 1-5pm CEST @PAGE 2024, Rome
🔖 Registration: Free, but space is limited. Early registration is recommended to ensure your place in this workshop.
For more details and to register, please visit https://www.mathworks.com/company/events/seminars/global-sensitivity-analysis-with-simbiology-4361208.html
Hi All,
I'm trying to produce some nice figures from the graphical user interface and have a set of local sensitivity analyses that I'd like to combine.
I have two inputs that vary the sensitivies of my system and would like to plot them on top of each other like:
Is there either a way to do this natively in simbiology (when you try and use 'keep results from each run' it plots them both as a time series) or to export the sensitivity data to the normal matlab programatic UI where I can combine them by hand?
Thank you for your help!
In one line of MATLAB code, compute how far you can see at the seashore. In otherwords, how far away is the horizon from your eyes? You can assume you know your height and the diameter or radius of the earth.
Keep calm and study PDEs
Me at the beginning of every meeting
A bit late. Compliments to Chris for sharing.
can you relate?
Can you solve it?
Happy year of the dragon.
Can you see them?
I have been procrastinating on schoolwork by looking at all the amazing designs created in the last MATLAB Flipbook Mini Hack! They are just amazing. The voting is over but what are y'all's personal favorites? Mine is the flapping butterfly, it is for sure a creation I plan to share with others in the future!
Hi All,
I'm trying to plot my observables in the analyzer and running into far more problems than expected. I have two species in my model that are invovled, blood.Insulin (pM) and blood.Glucose (mM), all I want to do is plot the ratio of these two (blood.Insulin/blood.Glucose (dimensionless)) along with my other species in Model Simulation, to compare it to the same ratio from my data.
First, there doesn't seem to be a way to directly add an observable to the logged states in 'Simulate Model', so I've tried to used 'Calculate Observable' based on the data from my last run (IVGTT.LastRun.results) but it says that units are required when unit conversion is enabled, but it should be dimensionless!
My next idea would be to make a non-constant parameter with a repeated assignment, but I feel like I should be able to do this without resorting to that?
Any help or ideas would be appreciated. Thank you, best regards,
Dan
One of my colleauges, Michio, recently posted an implementation of Pong Wars in MATLAB
- Here's the code on GitHub.https://lnkd.in/gZG-AsFX
- If you want to open with MATLAB Online, click here https://lnkd.in/gahrTMW5
- He saw this first here: https://lnkd.in/gu_Z-Pks
Making me wonder about variations. What might the resulting patterns look with differing numbers of balls? Different physics etc?
I based my model construction on this PBPK model: PBPK by Armin Sepp. While this is a very convenient script for building a PBPK two-pore model, it's very incovenient for my application to have the species Units defined in molarity. Is there a convenient way to organically switch this model from molarity to grams (or any weight unit)?
Hi! I'm new to pk modeling and Matlab. Can someone guide me through how to conduct population pk modeling based on pk parameters from non-human primate studies? Much thanks!!!!
The title is resonably non-descript, but I can explain it easily:
Say I have an initial Emax model:
v = emax1*[G]^n1/(ec501^n1+[G]^n1)
And I want to place v inside of a second Emax model:
y = emax2*v^n2/(ex502^n2+v^n2)
Currently, I have the full function of v inside y, twice, it's very long and whilst I only need to get it correct once, for readability in the future I'd rather have it in form #2. I've played around with non-constant parameters but I need the steady state to be v, not the rate rule, and I haven't worked out how to make a parameter shift to a form like v, as an observation might.
Are there any recommended solutions or do I simply need to keep with having v fully expressed in y?
Thank you,
Dan
Hi All,
I'm currently attempting to implement a Hodgkin-Huxley-type model of membrane potential, ideally I would like a species that represents the membrane potential as its own distinct entity, so as the reference elsewhere. I've currently established a molarity-based work around but it would be great if I could set the units for the species as millivolt, but that throws an error.
Is there an established way to do this? I imagine I'm not the first person to be trying to model a voltage-gated ion channel!
Thank you for your help.
Share your fun photos in the comments!
