sbmlsim

Python package to create upsampled/artificial datasets of alleles of bacterial genes to test training advanced machine learning models such as graph-based convolutional neural nets. If successful, then real data can be collected to train the model.

high-level design

• class-based design with Sample or Batch objects e.g.

batch = sbmlsim.Batch(n_samples=10,...)

or

for i in range(n_samples):

    samples = sbmlsim.Sample(n_res=3, n_sus=2, resistant_mutatations = options.resistant_mutations, random_seed=42...)

research outputs

To be added once pre-printed.