Predictions and experimental design

This section covers the essentials of modelling-based predictions and experimental designs.

What is a core prediction

In this video, we ask the question: "What is a core prediction". In short a core prediction is a well-determined prediction, i.e. a prediction that has a low uncertainty, even though (some of) the individual parameter values may have a large uncertainty. This distinction is of extra importance in systems biology projects, because therein individual parameters usually are of a high uncertainty, meaning that without a core prediction analysis, all predictions will just be suggestions.

Core predictions and experimental design

In this video, we have come to Phase II, where we look for interesting predictions. In this video, we use the concept of a core prediction, and use it to find various reasons for doing new experiments. In short there are three different reasons: i) to test a given model, ii) to distinguish between two models, iii) to better determine certain aspects of the model. For i) and ii) you need core prediction(s), but for iii) you are looking for (one of) the most undetermined predictions.