Improvements to in silico skin sensitisation predictions through privacy-preserving data sharing

Author:

Macmillan Donna S.ORCID,Chilton Martyn L.,Hillegass Jedd

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference25 articles.

1. KNIME: the Konstanz Information Miner;Berthold,2008

2. A quantitative in silico model for predicting skin sensitization using a nearest neighbours approach within expert-derived structure–activity alert spaces;Canipa;J. Appl. Toxicol.,2017

3. Making reliable negative predictions of human skin sensitisation using an in silico fragmentation approach;Chilton;Regul. Toxicol. Pharmacol.,2018

4. Factsheet 40 - Skin Sensitisers,2003

5. New Approach Methodologies in Regulatory Science - Proceedings of a Scientific Workshop Helsinki, 19–20 April 2016,2016

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