Pluripotent stem cells in miceShow others and affiliations
2012 (English)In: Quality of Life through Quality of Information / [ed] J. Mandas et al, Amsterdam, Netherlands: IOS Press, 2012, Vol. 180, p. 1159-61Conference paper, Published paper (Refereed)
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.
Place, publisher, year, edition, pages
Amsterdam, Netherlands: IOS Press, 2012. Vol. 180, p. 1159-61
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 180
Keywords [en]
Bioinformatics, machine learning, pluripotency
National Category
Bioinformatics and Computational Biology
Identifiers
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 (electronic)OAI: oai:DiVA.org:oru-40615DiVA, id: diva2:777928
Conference
24th Medical Informatics in Europe Conference, MIE 2012, Pisa, Italy, 26-29 August 2012.
2015-01-092015-01-092025-02-07Bibliographically approved