Exp2Ipynb: A general machine-learning workflow for the analysis of promoter libraries
Ulf W. Liebal, Sebastian Köbbing, Linus Netze, Artur M. Schweidtmann, Alexander Mitsos, Lars M. Blank
The paper introduces a machine-learning workflow for analyzing promoter libraries to identify sequence design principles that predict gene expression activity.
Frontiers in Bioinformatics · Oct 14, 2021Peer-reviewedBioinformatics