Statistische netwerk-gebaseerde gevolgtrekking voor het redeneren van proteomics-experimenten. KU Leuven
Experimental proteomics is a promising and growing domain, as state-of-the-art equipment allows for accurate, fast and environment-friendly research and diagnostics. However, current high performance experimental equipment is often complex, making setting up experiments and interpreting the results non-trivial.
Currently available models often are inaccurate, consider a single experimental step in isolation, and don't adapt to the ...