Dilan Pathirana

According to our database, Dilan Pathirana authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Non-Negative Universal Differential Equations With Applications in Systems Biology.

Maren Philipps, Antonia Körner, Jakob Vanhoefer, Dilan Pathirana, Jan Hasenauer

CoRR, 2024

2023

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.

Yannik Schälte, Fabian Fröhlich, Paul J. Jost, Jakob Vanhoefer, Dilan Pathirana, Paul Stapor, Polina A. Lakrisenko, Dantong Wang, Elba Raimúndez-Álvarez, Simon Merkt, Leonard Schmiester, Philipp Städter, Stephan Grein, Erika Dudkin, Domagoj Doresic, Daniel Weindl, Jan Hasenauer

Bioinform., November, 2023

Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.

Polina A. Lakrisenko, Paul Stapor, Stephan Grein, Lukasz Paszkowski, Dilan Pathirana, Fabian Fröhlich, Glenn Terje Lines, Daniel Weindl, Jan Hasenauer

PLoS Comput. Biol., January, 2023

2022

A protocol for dynamic model calibration.

Alejandro F. Villaverde, Dilan Pathirana, Fabian Fröhlich, Jan Hasenauer, Julio R. Banga

Briefings Bioinform., 2022

2021

PEtab - Interoperable specification of parameter estimation problems in systems biology.

Leonard Schmiester, Yannik Schälte, Frank T. Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L. Hauber, Svenja Kemmer, Polina A. Lakrisenko, Carolin Loos, Simon Merkt, Wolfgang Müller, Dilan Pathirana, Elba Raimúndez-Álvarez, Lukas Refisch, Marcus Rosenblatt, Paul Stapor, Philipp Städter, Dantong Wang, Franz-Georg Wieland, Julio R. Banga, Jens Timmer, Alejandro F. Villaverde, Sven Sahle, Clemens Kreutz, Jan Hasenauer, Daniel Weindl

PLoS Comput. Biol., 2021

yaml2sbml: Human-readable and -writable specification of ODE models and their conversion to SBML.

Jakob Vanhoefer, Marta R. A. Matos, Dilan Pathirana, Yannik Schälte, Jan Hasenauer

J. Open Source Softw., 2021

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

Fabian Fröhlich, Daniel Weindl, Yannik Schälte, Dilan Pathirana, Lukasz Paszkowski, Glenn Terje Lines, Paul Stapor, Jan Hasenauer

Bioinform., 2021