Ebenhöh, Oliver

Helixer– de novo Prediction of Primary Eukaryotic Gene Models Combining Deep Learning and a Hidden Markov Model

Holst, F., Bolger, A., Günther, C., Maß, J., Triesch, S., Kindel, F., Kiel, N., Saadat, N., Ebenhöh, O., Usadel, B., et al. (2023) · Nature Methods

Genomics and Phylogenetic StudiesMachine Learning in Bioinformatics

Cited by 161

Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth

Dourado, H., Liebermeister, W., Ebenhöh, O., & Lercher, M. J. (2023) · PLOS Computational Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 14

Interrogating the effect of enzyme kinetics on metabolism using differentiable constraint-based models

Wilken, S. E., Besançon, M., Kratochvíl, M., Foko Kuate, C. A., Trefois, C., Gu, W., & Ebenhöh, O. (2022) · Metabolic Engineering

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 13