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Analysis of molecular interaction networks associated with breast cancer tumour susceptibility

 
: Younesi, E.

:
Volltext urn:nbn:de:0011-n-1345298 (3.5 MByte PDF)
MD5 Fingerprint: a93e86203cf6e40c5231b1e3781221df


Bonn, 2008, VI, 69 pp.
Bonn, Univ., Master Thesis, 2008
English
Master Thesis, Electronic Publication
Fraunhofer SCAI ()
disease model; network biology; breast cancer; susceptibility

Abstract
Recent application of network theory to biological area has laid down the foundation of a model framework so-called "integrative functional informatics" or "integrative bioinformatics". Within the frame of this thesis project, such a model framework is proposed to tackle the complexity of tumor susceptibility in breast cancer. Incorporation of a priori but hidden knowledge in the literature using text-mining and knowledge discovery techniques proved to be of value in leveraging the ability of interpretation of current knowledge as well as identification of novel associations between biological entities.The proposed integrative approach and the resultant model in this research offer a network-based explanation for the emergence of complex phenotypes in a complex polygenic disorder such as breast cancer.

: http://publica.fraunhofer.de/documents/N-134529.html