A DOE factor is a variable that can potentially affect the outcome of an experiment and one that you are interested in investigating. A factor can be numerical or categorical, and may have certain restrictions or dependencies on other factors.
In Synthace, factors can directly relate to parameters from elements within a workflow, or might be custom factors that you wish to investigate but are not directly controlled through Synthace.
The following tutorials will introduce the different factor types Synthace supports, how to define them, and when to use them. We also include examples of how they can be used in real biological applications.
Learn what numerical factors are and how they relate to Synthace parameters.
Learn what categorical factors are and how they relate to Synthace parameters.
Learn how to define a factor that has a choice of components that sample across a range of levels.
The levels for some factors can be dependent on the levels chosen for other factors. Learn how to define the relationship between factors and their levels.
Commonly in biological experiments runs are replicated to have different treatments applied to them. Learn how to define replicate groups that will receive different treatments.
Learn what hard to change factors are and when you might use them.
Not all factors in your DOE will map directly to a Synthace parameter. Learn how to define custom factors in this case.
Not all components in a mixture are investigated as a factor in a DOE. Learn how you can define constant components that should be added to every run in your design.
Biochemical Assay Development Part 2: Identify Factors to Investigate (Coming Soon!)
Most DOEs will use a combination of the factor types described in this section of tutorials. Follow this tutorial to see how a combination of these factor types come together to help study a biochemical assay optimisation.