Daniel Weindl

According to our database1, Daniel Weindl authored at least 16 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells.
PLoS Comput. Biol., January, 2024

2023
pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.
Bioinform., November, 2023

Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
PLoS Comput. Biol., January, 2023

A More Expressive Spline Representation for SBML Models Improves Code Generation Performance in AMICI.
Proceedings of the Computational Methods in Systems Biology, 2023

2022
BioSimulators: a central registry of simulation engines and services for recommending specific tools.
Nucleic Acids Res., 2022

BioSimulators: a central registry of simulation engines and services for recommending specific tools.
CoRR, 2022

2021
PEtab - Interoperable specification of parameter estimation problems in systems biology.
PLoS Comput. Biol., 2021

Efficient gradient-based parameter estimation for dynamic models using qualitative data.
Bioinform., 2021

AMICI: high-performance sensitivity analysis for large ordinary differential equation models.
Bioinform., 2021

2020
Efficient parameterization of large-scale dynamic models based on relative measurements.
Bioinform., 2020

2019
Benchmarking optimization methods for parameter estimation in large kinetic models.
Bioinform., 2019

Community-driven roadmap for integrated disease maps.
Briefings Bioinform., 2019

2018
PESTO: Parameter EStimation TOolbox.
Bioinform., 2018

LNA++: Linear Noise Approximation with First and Second Order Sensitivities.
Proceedings of the Computational Methods in Systems Biology, 2018

2016
MIA: non-targeted mass isotopolome analysis.
Bioinform., 2016

2013
NTFD - a stand-alone application for the non-targeted detection of stable isotope-labeled compounds in GC/MS data.
Bioinform., 2013


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