The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
- DOI
- 10.1016/j.mbs.2019.108242
- Published
- 2019-10
- Container
- Mathematical Biosciences
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mbs.2019.108242,
title = {The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems},
author = {David J. Albers and Matthew E. Levine and Lena Mamykina and George Hripcsak},
year = {2019},
journal = {Mathematical Biosciences},
doi = {10.1016/j.mbs.2019.108242},
url = {https://doi.org/10.1016/j.mbs.2019.108242}
}RIS
TY - JOUR TI - The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems AU - David J. Albers AU - Matthew E. Levine AU - Lena Mamykina AU - George Hripcsak PY - 2019 JO - Mathematical Biosciences DO - 10.1016/j.mbs.2019.108242 UR - https://doi.org/10.1016/j.mbs.2019.108242 ER -
APA
Albers, D. J., Levine, M. E., Mamykina, L., & Hripcsak, G. (2019). The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems. Mathematical Biosciences. https://doi.org/10.1016/j.mbs.2019.108242
Source records
- crossref · retrieved 2026-09-25T04:38:13.286Z