Все публикации

Inference of Large-Scale Boolean Models from Human-Curated Fully Annotated Process Description Diag.

On Steroids! Modeling 11-Oxygenated Androgen Levels in Chronic Kidney Disease

Improving Reuse with Continuous Scientific Processes

Using Bond Graphs to Ensure Thermodynamic Consistency in Biophysical Models

2024 Summer School - Day 5.5 - Coupling Chemical Network Models to Cell Tissue Models

2024 Summer School - Day 5.2 - pyPESTO – A Modular and Scalable Tool for Parameter Estimation

2024 Summer School - Day 5.4 -

2024 Summer School - Day 5.3 - Towards Digital Twins of Acute Myeloid Leukemia Patients

2024 Summer School - Day 5.1 Developing Multiscale Models of Microbes, Infection and Disease

2024 Summer School & Hackathon - Day 4 - Model Credibility Hackathon

2024 Summer School & Hackathon - Day 3.1 - An Overview of Model Calibration and Parameter Estimation

2024 Summer School & Hackathon - Day 3.2 - Oscillators and Signaling Pathways

2024 Summer School & Hackathon - Day 3.3 - Model Annotation

2024 Summer School & Hackathon - Day 2.4 - Studying Bistability

2024 Summer School & Hackathon - Day 2.3 Advanced Antimony

2024 Summer School & Hackathon - Day 2.2 - SBML and Biomodels

2024 Summer School & Hackathon - Day 2.1 - Introduction to Tellurium (Part 2)

2024 Summer School & Hackathon - Day 1.2 Introduction to Modeling

2024 Summer School & Hackathon - Day 1.4 Introduction to Tellurium

2024 Summer School & Hackathon - Day 1.3 Introduction to Antimony

2024 Summer School & Hackathon - Day 1.1 Welcome and Introduction to Python

Reproducibility and FAIR Principles: The Case of a Segment Polarity Network Model - Pedro Mendes

pyPESTO: A Modular and Scalable Tool for Parameter Estimation for Dynamic Models - Paul Jost

Multiscale Multicellular Modeling Challenges and Opportunities

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