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Chemical Research in Toxicology|September 17, 2015
Development of an in Silico Profiler for Mitochondrial ToxicityMark D Nelms, Claire L Mellor, Mark T D Cronin, et al.Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|April 22, 2016
Body mass index, risk of allogeneic red blood cell transfusion, and mortality in elderly patients undergoing hip fracture surgeryA B Pedersen, D Cronin Fenton, M Nørgaard, et al.Toxicology|July 12, 2021
Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicityEmma Arnesdotter, Nicoleta Spinu, James Firman, et al.Chemical Research in Toxicology|April 22, 2016
Development of a Fragment-Based in Silico Profiler for Michael Addition Thiol ReactivityDavid J Ebbrell, Judith C Madden, Mark T D Cronin, et al.Journal of Chemical Information and Computer Sciences|January 27, 2004
QSAR analysis of the toxicity of aromatic compounds to Chlorella vulgaris in a novel short-term assayTatiana I Netzeva, John C Dearden, Robert Edwards, et al.European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|March 21, 2012
Predictors of re-operation due to post-surgical bleeding in breast cancer patients: a Danish population-based cohort studyL Winther Lietzen, D Cronin-Fenton, J P Garne, et al.Chemical Research in Toxicology|April 20, 2004
Assessment and modeling of the toxicity of organic chemicals to Chlorella vulgaris: development of a novel databaseMark T D Cronin, Tatiana I Netzeva, John C Dearden, et al.Environmental Health Perspectives|August 5, 2003
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARsLennart Eriksson, Joanna Jaworska, Andrew P Worth, et al.Human & Experimental Toxicology|August 8, 2008
Improving the applicability of (Q)SARs for percutaneous penetration in regulatory risk assessmentT Bouwman, M T D Cronin, J G M Bessems, et al.Critical Reviews in Toxicology|September 3, 2024
Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learningArkaprava Banerjee, Supratik Kar, Kunal Roy, et al.Pageof 49