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Thesis

DifFUZZY: a novel clustering algorithm for systems biology

Abstract:

Current studies of the highly complex pathobiology and molecular signatures of human disease require the analysis of large sets of high-throughput data, from clinical to genetic expression experiments, containing a wide range of information types. A number of computational techniques are used to analyse such high-dimensional bioinformatics data.

In this thesis we focus on the development of a novel soft clustering technique, DifFUZZY, a fuzzy clustering algorithm applicable to a larg...

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Research group:
Centre for Mathematical Biology
Oxford college:
St John's College
Role:
Author
More by this author
Division:
MPLS
Department:
Mathematical Institute
Role:
Author

Contributors

Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
More from this funder
Funding agency for:
Cominetti Allende, O
Publication date:
2012
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK

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