May 29, 2018 article Open access Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization PLoS Computational Biology DOI: 10.1371/journal.pcbi.1006181 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 35 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access MxlPy - Python Package for Mechanistic Learning in Life Science 2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access 0 citations MxlPy—Python package for mechanistic learning and hybrid modelling in life science 2024 Bioinformatics Advances software-paper Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access 1 citations 2 results References 0