TY  - RPRT
TI  - Selection of an Ideal Machine Learning Framework for Predicting Perturbation Effects on Network Topology of Bacterial KEGGPathways
AU  - Robben, M.
AU  - Nasr, M. S.
AU  - Das, A.
AU  - Huber, M.
AU  - Jaworski, J.
AU  - Weidanz, J.
AU  - Luber, J. M.
PY  - 2022
DO  - 10.1101/2022.07.21.501034
UR  - https://www.biorxiv.org/content/10.1101/2022.07.21.501034v1
ID  - 10.1101/2022.07.21.501034
ER  -