oru.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Pluripotent stem cells in mice
Institute for Biostatistics and Informatics in Medicine and Aging Research, University of Rostock, Rostock, Germany.
Institute for Computer Science, University of Onsnabrueck, Onsnabrueck, Germany.
Institute for Biostatistics and Informatics in Medicine and Aging Research, University of Rostock, Rostock, Germany; Department of Intelligent Science, University of Ljubljana, Ljubljana, Slovenia.
Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany.ORCID-id: 0000-0002-7173-5579
Visa övriga samt affilieringar
2012 (Engelska)Ingår i: Quality of Life through Quality of Information / [ed] J. Mandas et al, Amsterdam, Netherlands: IOS Press, 2012, Vol. 180, s. 1159-61Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Pluripotent stem cells are able to self-renew and to differentiate into all adult cell types. Many studies report data describing these cells and characterize them in molecular terms. Gene expression data of pluripotent and non-pluripotent cells from mouse were assembled. Machine learning was applied to classify samples into pluripotent and non-pluripotent cells. To identify minimal sets of best biomarkers, three methods were used: information gain, random forests, and genetic algorithm.

Ort, förlag, år, upplaga, sidor
Amsterdam, Netherlands: IOS Press, 2012. Vol. 180, s. 1159-61
Serie
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 180
Nyckelord [en]
Bioinformatics, machine learning, pluripotency
Nationell ämneskategori
Bioinformatik och systembiologi
Identifikatorer
URN: urn:nbn:se:oru:diva-40615DOI: 10.3233/978-1-61499-101-4-1159ISI: 000335219500235PubMedID: 22874386Scopus ID: 2-s2.0-84872529254ISBN: 978-1-61499-101-4 (digital)OAI: oai:DiVA.org:oru-40615DiVA, id: diva2:777928
Konferens
24th Medical Informatics in Europe Conference, MIE 2012, Pisa, Italy, 26-29 August 2012.
Tillgänglig från: 2015-01-09 Skapad: 2015-01-09 Senast uppdaterad: 2018-09-12Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextPubMedScopus

Personposter BETA

Repsilber, Dirk

Sök vidare i DiVA

Av författaren/redaktören
Repsilber, Dirk
Bioinformatik och systembiologi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
pubmed
isbn
urn-nbn

Altmetricpoäng

doi
pubmed
isbn
urn-nbn
Totalt: 202 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf