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

doi:10.1016/j.jtbi.2012.06.003

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 journal › Article › peer-review

Original language	English
Pages (from-to)	216-222
Journal	Journal of Theoretical Biology
Volume	310
DOIs	https://doi.org/10.1016/j.jtbi.2012.06.003
Publication status	Published - 2012
Externally published	Yes

Fields of Expertise

Human- & Biotechnology

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

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10.1016/j.jtbi.2012.06.003

Cite this

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title = "A network-based feature selection approach to identify metabolic signatures in disease",

author = "M. Netzer and K.G. Kugler and L.A.J. M{\"u}ller and K.M. Weinberger and Christian Baumgartner and M. Dehmer",

year = "2012",

doi = "10.1016/j.jtbi.2012.06.003",

language = "English",

volume = "310",

pages = "216--222",

journal = "Journal of Theoretical Biology",

issn = "1095-8541",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - A network-based feature selection approach to identify metabolic signatures in disease

AU - Netzer, M.

AU - Kugler, K.G.

AU - Müller, L.A.J.

AU - Weinberger, K.M.

AU - Baumgartner, Christian

AU - Dehmer, M.

PY - 2012

Y1 - 2012

UR - http://www.ncbi.nlm.nih.gov/pubmed/22771628

U2 - 10.1016/j.jtbi.2012.06.003

DO - 10.1016/j.jtbi.2012.06.003

M3 - Article

SN - 1095-8541

VL - 310

SP - 216

EP - 222

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

ER -

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

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this