Author

D. A. Hormuth

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

A. Brock· 1 shared C. M. Phillips· 1 shared I. G. Goncalves· 1 shared J. Kowalski· 1 shared J. Liu· 1 shared J. M. Garcia-Aznar· 1 shared J. Virostko· 1 shared J. Yang· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

1 shared paperCancer Biology

A. Brock

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

I. G. Goncalves, D. A. Hormuth, S. Prabhakaran, C. M. Phillips, J. M. Garcia-Aznar

PhysiCOOL provides an open-source Python library for calibrating and optimizing PhysiCell models without requiring high-performance computing.

bioRxiv · Nov 17, 2022Bioengineering

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

J. Yang, J. Virostko, D. A. Hormuth, J. Liu, A. Brock, J. Kowalski, T. Yankeelov

The paper develops and validates a mathematical model to predict tumor cell growth based on glucose availability in breast cancer cell lines using experimental data.

bioRxiv · Oct 5, 2020Cancer Biology