Predicting Aromatic Amine Mutagenicity With Confidence: A Case Study Using Conformal Prediction

Norinder, Ulf,1956-Stockholms universitet,Institutionen för data- och systemvetenskap,Swetox, Karolinska Institutet, Sweden (författare)

Predicting Aromatic Amine Mutagenicity With Confidence : A Case Study Using Conformal Prediction

Forskningsfinansiär: National Institute of Environmental Health Sciences of the National Institutes of HealthGrant Number: R44ES026909
The occurrence of mutagenicity in primary aromatic amines has been investigated using conformal prediction. The results of the investigation show that it is possible to develop mathematically proven valid models using conformal prediction and that the existence of uncertain classes of prediction, such as both (both classes assigned to a compound) and empty (no class assigned to a compound), provides the user with additional information on how to use, further develop, and possibly improve future models. The study also indicates that the use of different sets of fingerprints results in models, for which the ability to discriminate varies with respect to the set level of acceptable errors.

Myatt, GlennLeadscope, Columbus, USA (författare)
Ahlberg, ErnstAstraZeneca R&D Gothenburg, Mölndal, Sweden (författare)
Stockholms universitetInstitutionen för data- och systemvetenskap (creator_code:org_t)

Av författaren/redakt...: Norinder, Ulf, 1 ...; Myatt, Glenn; Ahlberg, Ernst

Om ämnet

Av lärosätet: Örebro universitet; Stockholms universitet; Karolinska Institutet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.