This PR sanitizes some odd things about the way that the code had to be run.
The gaussian process fitting has been separated into a new script called bitc_integrate.py, where you can tweak the settings to suit individual experiments. It produces an output file that can then be used in the next step.
MCMC is now performed using a command line utility called bitc_mcmc.py, which can handle both a two-component model, and a competitive binding model.
See the updated README.md file for detailed usage instructions.
This pr deprecates the old bitc_util.py script, but I've left it around in case anyone still needs it.
This PR sanitizes some odd things about the way that the code had to be run.
The gaussian process fitting has been separated into a new script called
bitc_integrate.py
, where you can tweak the settings to suit individual experiments. It produces an output file that can then be used in the next step.MCMC is now performed using a command line utility called
bitc_mcmc.py
, which can handle both a two-component model, and a competitive binding model.See the updated README.md file for detailed usage instructions.
This pr deprecates the old
bitc_util.py
script, but I've left it around in case anyone still needs it.