Quantitative Network Measures as Biomarkers for Classifying Prostate Cancer Disease States: A Systems Approach to Diagnostic Biomarkers

Open Access

Peer-reviewed

Research Article

Matthias Dehmer ,

* E-mail: matthias.dehmer@umit.at (MD); v@bio-complexity.com (FES)

Affiliation UMIT, Institute for Bioinformatics and Translational Research, Hall in Tyrol, Austria
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Laurin A. J. Mueller,

Affiliation UMIT, Institute for Bioinformatics and Translational Research, Hall in Tyrol, Austria
⨯
Frank Emmert-Streib

* E-mail: matthias.dehmer@umit.at (MD); v@bio-complexity.com (FES)

Affiliation Computational Biology and Machine Learning Laboratory, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
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Prostate cancer
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Biomarkers
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Eigenvalues
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Gene expression
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Genetic networks
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Entropy
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Cancer detection and diagnosis
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Diagnostic medicine
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