August 04, 2026 article Open access A modeling framework for uncertainty quantification in filter-plate-based high-throughput screening of the chromatography partition coefficient Journal of Chromatography A DOI: 10.1016/j.chroma.2026.467325 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 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 Bayesian calibration, process modeling and uncertainty quantification in biotechnology 2022 PLoS Computational Biology article Decision Sciences Optimal Experimental Design Methods Open access cited by 1 patent 34 citations Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling 2023 Journal of Chromatography A article Chemistry Analytical Chemistry and Chromatography 14 citations Building trust in automated experimentation: uncertainty quantification in the era of high-throughput biolabs 2025 Current Opinion in Biotechnology review Decision Sciences Optimal Experimental Design Methods Open access 4 citations 3 results