Mathematical models applied to biological
systems have been exploited extensively lately in medical and biological
sciences. Furthermore, mathematical models can be built from
"scratch" (i.e., bottom-up approaches, also known as "white box")
or from "data" (i.e., top-down approaches, also known as "black
box"). Mathematical models can be used to making sense of data, similar to
machine learning-like approach are employed, with the additional advantage of
having a better understanding of the system mathematically. Top-down approaches
in mathematical models applied to biological systems are represented by tools
such as neural networks, whereas the bottom-up approaches are represented by
tools such as differential equations.
On this
short-course you shall learn the basics of mathematical models applied to
biological systems, how it can be used to interpret/exploit experimental data,
as a possible alternative to well-known methodologies for data science.
Pre-requisites:
it might be interesting if the audience has basic programming skills;
Software
used: Matlab and SimBiology
You may
want to see https://www.youtube.com/watch?v=2lTp6zLMgQI
for Matlab and https://www.youtube.com/watch?v=1kGvq8vABvw
for simbiology. Symbiology is a software inside Matlab, similar to Simulink.
Please,
send me a priori feedback, if possible: https://docs.google.com/forms/d/1m6YeyXpX_hgKyca5AS8Qq-pnG3BRLlSQCOZaktVbv5A/viewform?edit_requested=true
See the event.
