SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Hammar Henrik)
 

Sökning: WFRF:(Hammar Henrik) > Using conformal pre...

  • Ahlberg, ErnstPredictive Compound ADME & Safety, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, Sweden (författare)

Using conformal prediction to prioritize compound synthesis in drug discovery

  • Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

  • Stockholm :Machine Learning Research,2017
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:oru-83156
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-83156URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221445URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-38124URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:kon swepub-publicationtype

Anmärkningar

  • QC 20180122
  • The choice of how much money and resources to spend to understand certain problems is of high interest in many areas. This work illustrates how computational models can be more tightly coupled with experiments to generate decision data at lower cost without reducing the quality of the decision. Several different strategies are explored to illustrate the trade off between lowering costs and quality in decisions.AUC is used as a performance metric and the number of objects that can be learnt from is constrained. Some of the strategies described reach AUC values over 0.9 and outperforms strategies that are more random. The strategies that use conformal predictor p-values show varying results, although some are top performing.The application studied is taken from the drug discovery process. In the early stages of this process compounds, that potentially could become marketed drugs, are being routinely tested in experimental assays to understand the distribution and interactions in humans.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Winiwarter, SusannePredictive Compound ADME & Safety, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, Sweden (författare)
  • Boström, HenrikDepartment of Computer and Systems Sciences, Stockholm University, Sweden(Swepub:kth)u1r0rr47 (författare)
  • Linusson, HenrikDepartment of Information Technology, University of Borås, Sweden (författare)
  • Löfström, TuveJönköping University,Jönköping AI Lab (JAIL),Department of Information Technology, University of Borås, Sweden(Swepub:hj)loftuw (författare)
  • Norinder, Ulf,1956-Swetox, Karolinska Institutet, Unit of Toxicology Sciences, Stockholm, Sweden(Swepub:oru)unr (författare)
  • Johansson, UlfJönköping University,Jönköping AI Lab (JAIL),Department of Information Technology, University of Borås, Sweden(Swepub:hj)johulf (författare)
  • Engkvist, OlaExternal Sciences, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden (författare)
  • Hammar, OscarQuantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden (författare)
  • Bendtsen, ClausQuantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Cambridge, England,Quantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Cambridge, UK (författare)
  • Carlsson, LarsQuantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden (författare)
  • Predictive Compound ADME & Safety, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, SwedenDepartment of Computer and Systems Sciences, Stockholm University, Sweden (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Proceedings of Machine Learning ResearchStockholm : Machine Learning Research, s. 174-184

Internetlänk

Till lärosätets databas

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.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy