A network-based feature selection approach to identify metabolic signatures in disease

M. Netzer, K.G. Kugler, L.A.J. Müller, K.M. Weinberger, Christian Baumgartner, M. Dehmer

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)216-222
JournalJournal of theoretical biology
Volume310
DOIs
Publication statusPublished - 2012
Externally publishedYes

Fields of Expertise

  • Human- & Biotechnology

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

A network-based feature selection approach to identify metabolic signatures in disease. / Netzer, M.; Kugler, K.G.; Müller, L.A.J.; Weinberger, K.M.; Baumgartner, Christian; Dehmer, M.

In: Journal of theoretical biology, Vol. 310, 2012, p. 216-222.

Research output: Contribution to journalArticleResearchpeer-review

Netzer, M. ; Kugler, K.G. ; Müller, L.A.J. ; Weinberger, K.M. ; Baumgartner, Christian ; Dehmer, M. / A network-based feature selection approach to identify metabolic signatures in disease. In: Journal of theoretical biology. 2012 ; Vol. 310. pp. 216-222.
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AU - Dehmer, M.

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