[HTML][HTML] Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl, J Hasenauer - Journal of Mathematical Biology, 2020 - Springer
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach.

L Schmiester, D Weindl, J Hasenauer - Journal of Mathematical …, 2020 - europepmc.org
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl… - Journal of mathematical …, 2020 - pubmed.ncbi.nlm.nih.gov
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

[PDF][PDF] Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl… - Journal of Mathematical …, 2020 - mediatum.ub.tum.de
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

S Leonard, D Weindl… - Journal of Mathematical …, 2020 - search.proquest.com
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

[HTML][HTML] Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl… - Journal of Mathematical …, 2020 - ncbi.nlm.nih.gov
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

[PDF][PDF] Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl… - Journal of Mathematical …, 2020 - scholar.archive.org
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

Statistical inference of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl, J Hasenauer - bioRxiv, 2019 - biorxiv.org
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

[PDF][PDF] Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl… - Journal of Mathematical …, 2020 - scholar.archive.org
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …

Statistical inference of mechanistic models from qualitative data using an efficient optimal scaling approach

L Schmiester, D Weindl, J Hasenauer - 2019 - europepmc.org
Quantitative dynamical models facilitate the understanding of biological processes and the
prediction of their dynamics. These models usually comprise unknown parameters, which …