Closed LoosC closed 5 years ago
Observable scales are linear, that's fine. Could someone look into this from the model side, whether everything is correct?
Model parameter 'sigma_pErk' is target of AssignmentRule, and thus, must not be present in condition table or in parameter table.
Its not present in the condition table, but its a parameter which is estimated and thus listed in the parameter table, right?
sigma_pErk
is reserved for specifying the noise model. The parameter which is to be used cannot have the same name. That is sometimes unfortunate, but it is what we currently require in PEtab. So the sigma_pErk
in the measurement table needs to be changed to something else.
When doing analysis in pypesto, a first challenge is that there are replicates (in the form of multiple observable parameters for the same condition and observable). this can be solved by adding a second condition for each of data1,2,3. However, then I still get an objective at the nominal parameters of 1.08e8, which is much too high.