You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a problem? Please describe.
This is a request by @ism200. Basically, sometimes a virtual dataset is added to the analysis to provide guidance for the clp estimation.
Describe the solution you'd like
This is tricky to solve. Semantically, the guidance spectrum is dataset by it's own. This means it has to be representented as a special dataset.
An idea woud be to introduce an option for a dataset model called clp_guide. This will mean that this dataset is allowed to have no megacomplexes (ectually forbitten to have one). It will just return an array of ones, depending of it is index dependent it is one.
I think this is best solved along the path to make mixed nnls and varpro fitting.
Additional context
There should be a case study for that.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
This is a request by @ism200. Basically, sometimes a virtual dataset is added to the analysis to provide guidance for the clp estimation.
Describe the solution you'd like
This is tricky to solve. Semantically, the guidance spectrum is dataset by it's own. This means it has to be representented as a special dataset.
An idea woud be to introduce an option for a dataset model called
clp_guide
. This will mean that this dataset is allowed to have no megacomplexes (ectually forbitten to have one). It will just return an array of ones, depending of it is index dependent it is one.I think this is best solved along the path to make mixed nnls and varpro fitting.
Additional context
There should be a case study for that.
The text was updated successfully, but these errors were encountered: