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  Phenotype informatics : network approaches towards understanding the diseasome

Köhler, S. (2013). Phenotype informatics: network approaches towards understanding the diseasome. PhD Thesis, Berlin, Freie Universität.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0018-D22B-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-CEDF-F
Genre: Thesis

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 Creators:
Köhler, Sebastian1, 2, Author              
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, Ihnestr. 73, 14195 Berlin, Germany, ou_1433547              
2Freie Universität Berlin, Fachbereich Mathematik und Informatik, Berlin, Germany, ou_persistent22              

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Free keywords: network; ontology; human phenotype; model organism phenotype; graph algorithm; human disease
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Language(s): eng - English
 Dates: 2012-09-122013-05-16
 Publication Status: Accepted / In Press
 Pages: 158
 Publishing info: Freie Universität : Berlin
 Table of Contents: -
 Rev. Method: -
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 Degree: PhD

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