@misc{indiciae403b0adb9795,
  title = {Selection of an Ideal Machine Learning Framework for Predicting Perturbation Effects on Network Topology of Bacterial KEGGPathways},
  author = {Robben, M. and Nasr, M. S. and Das, A. and Huber, M. and Jaworski, J. and Weidanz, J. and Luber, J. M.},
  year = {2022},
  doi = {10.1101/2022.07.21.501034},
  url = {https://www.biorxiv.org/content/10.1101/2022.07.21.501034v1},
  note = {Source identifier: 10.1101/2022.07.21.501034}
}