Fuzzy systems and unsupervised computing: exploration of applications in biology

Author(s):
Cai, F.
Published
2017
Publication type
Doctoral Thesis

Abstract

In this thesis we will explore the use of fuzzy systems

theory for applications in bioinformatics. The theory of fuzzy systems is

concerned with formulating decision problems in data sets that are

ill-defined. It supports the transfer from a subjective human classification to a numerical scale. In this manner it affords the testing of hypothesis and separation of the classes in the data. We first formulate problems in terms of a fuzzy system and then develop and test algorithms in terms of their performance with data from the domain of the life-sciences. From the results and the performance, we will learn about the usefulness of fuzzy systems for the field, as well as the applicability to the kind of problems and practicality for the computation itself.

Fuzzy systemsUnsupervised computingBioinformaticsData analysis pipelineBackground correctionFeature selectionInformation clusteringGenomic study
Defense date
2017-12-12
Language
English
Supervisor(s)
Verbeek, F.J.
Committee member(s)
Haar, B. ter; Noort, V. van; Dijke, P. ten; Emmerich, M.
Qualification
Ph.D.
Degree granting institution
Leiden Institute of Advanced Computer Science (LIACS), Science, Leiden University, Leiden
hdl
1887/57983
ISBN(s)
9789461828606