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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Actions
Authors
Contributors
+ Maini, P
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
+ Erban, R
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
+ Byrne, H
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
+ Murray, P
Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
Funding
Bibliographic Details
- Publication date:
- 2012
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- Oxford University, UK
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:072d11e5-9bf1-4c47-9593-4cdb7327feaa
- Local pid:
- ora:6319
- Deposit date:
- 2012-07-02
Terms of use
- Copyright holder:
- Ornella Cominetti
- Copyright date:
- 2012
- Notes:
- This thesis is not currently available via ORA.
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