Author

Antje‐Christine Walz

F. Hoffmann-La Roche AGORCID 0000-0002-2177-545XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ben C. LambertiD· 2 shared David AugustiniD· 2 shared David J. GavaghaniD· 2 shared Ken WangiD· 2 shared Martin J. RobinsoniD· 2 shared Michael ClerxiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Ben C. LambertORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data

David Augustin, Ben C. Lambert, Ken Wang, Antje‐Christine Walz, Martin J. Robinson, David J. Gavaghan

This paper introduces filter inference, a scalable method for estimating NLME model parameters from snapshot time series data, enabling efficient analysis of large datasets.

PLoS Computational Biology · May 22, 2023Peer-reviewedBioinformatics

Treatment response prediction: Is model selection unreliable?

David Augustin, Ken Wang, Antje‐Christine Walz, Ben C. Lambert, Michael Clerx, Martin J. Robinson, David J. Gavaghan

The paper shows that model selection based on AIC or model averaging can lead to unreliable treatment response predictions due to nonlinear dynamics, and proposes probabilistic averaging as a more reliable approach.

bioRxiv · Mar 19, 2022 · PreprintSystems Biology