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Cited by in F6Publishing
For: Morger A, Svensson F, Arvidsson McShane S, Gauraha N, Norinder U, Spjuth O, Volkamer A. Assessing the calibration in toxicological in vitro models with conformal prediction. J Cheminform 2021;13:35. [PMID: 33926567 DOI: 10.1186/s13321-021-00511-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Norinder U, Spjuth O, Svensson F. Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning. J Cheminform 2021;13:77. [PMID: 34600569 DOI: 10.1186/s13321-021-00555-7] [Reference Citation Analysis]
2 Klutzny S, Kornhuber M, Morger A, Schönfelder G, Volkamer A, Oelgeschläger M, Dunst S. Quantitative high-throughput phenotypic screening for environmental estrogens using the E-Morph Screening Assay in combination with in silico predictions. Environ Int 2021;158:106947. [PMID: 34717173 DOI: 10.1016/j.envint.2021.106947] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Arvidsson McShane S, Ahlberg E, Noeske T, Spjuth O. Machine Learning Strategies When Transitioning between Biological Assays. J Chem Inf Model 2021;61:3722-33. [PMID: 34152755 DOI: 10.1021/acs.jcim.1c00293] [Reference Citation Analysis]
4 Fagerholm U Dr, Hellberg S Dr, Alvarsson J Dr, Spjuth O Prof. In silico predictions of the human pharmacokinetics/toxicokinetics of 65 chemicals from various classes using conformal prediction methodology. Xenobiotica 2022;:1-18. [PMID: 35238270 DOI: 10.1080/00498254.2022.2049397] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]