liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Learning and validating Bayesian network models of gene networks
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (ADIT)
Computional Medicine group, Karolinska institutet, Huddinge.
Linköping University, Department of Physics, Chemistry and Biology, Computational Biology. Linköping University, The Institute of Technology.
2007 (English)In: Advances in Probabilistic Graphical Models / [ed] Peter Lucas, José A. Gámez, Antonio Salmerón., Berlin: Springer Verlag , 2007, 1, p. 359-376Chapter in book (Other academic)
Abstract [en]

We propose a framework for learning from data and validating Bayesian network models of gene networks. The learning phase selects multiple locally optimal models of the data and reports the best of them. The validation phase assesses the confidence in the model reported by studying the different locally optimal models obtained in the learning phase. We prove that our framework is asymptotically correct under the faithfulness assumption. Experiments with real data (320 samples of the expression levels of 32 genes involved in Saccharomyces cerevisiae, i.e. baker’s yeast, pheromone response) show that our framework is reliable.

Place, publisher, year, edition, pages
Berlin: Springer Verlag , 2007, 1. p. 359-376
Series
Studies in Fuzziness and soft Computing ; 213
Keywords [en]
Optimal Model, Gene Expression Data, Bayesian Network, Mating Type, Learning Phase
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-38394DOI: 10.1007/978-3-540-68996-6_17Local ID: 44148ISBN: 9783540689942 (print)ISBN: 354068994X (print)OAI: oai:DiVA.org:liu-38394DiVA, id: diva2:259243
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2019-04-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textfind book at a swedish library/hitta boken i ett svenskt bibliotekfind book in another country/hitta boken i ett annat land

Authority records BETA

Peña, Jose M.Tegnér, Jesper

Search in DiVA

By author/editor
Peña, Jose M.Tegnér, Jesper
By organisation
Database and information techniquesThe Institute of TechnologyComputational Biology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 170 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf