Vineetha, S; Dr.Sumam Mary,Idicula(Cochin University Of Science And Technology, October , 2012)
[+]
[-]
Abstract:
Microarray data analysis is one of data mining tool which is used to
extract meaningful information hidden in biological data. One of the major
focuses on microarray data analysis is the reconstruction of gene regulatory
network that may be used to provide a broader understanding on the
functioning of complex cellular systems. Since cancer is a genetic disease
arising from the abnormal gene function, the identification of cancerous genes
and the regulatory pathways they control will provide a better platform for
understanding the tumor formation and development. The major focus of this
thesis is to understand the regulation of genes responsible for the development
of cancer, particularly colorectal cancer by analyzing the microarray
expression data.
In this thesis, four computational algorithms namely fuzzy logic
algorithm, modified genetic algorithm, dynamic neural fuzzy network and
Takagi Sugeno Kang-type recurrent neural fuzzy network are used to
extract cancer specific gene regulatory network from plasma RNA dataset
of colorectal cancer patients. Plasma RNA is highly attractive for cancer
analysis since it requires a collection of small amount of blood and it can be
obtained at any time in repetitive fashion allowing the analysis of disease
progression and treatment response.
Description:
Department of
Computer Science, Cochin University of Science and Technology