Short time series microarray data analysis and biological annotation

Date
2008
Advisor
Instructor
Source Title
Proceedings of the IEEE 16th Signal Processing and Communications Applications Conference, SIU 2008
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
Language
Turkish
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract

Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time series microarray gene data by applying unsupervised methods and automatically perform biological annotation of those clusters. In the first step of the study, short time series microarray expression data is clustered according to similar expression profiles. After that, several biological data sources are integrated to get information related with the genes in one of those clusters and new sub-clusters are created by using this unified information. As a last step, biological annotation of gene sub-clusters is performed by using information related with those sub-clusters.

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Book Title
Keywords
Biological datums, Biological functions, Expression datums, Expression profiles, Gene clusters, Gene lists, Microarray data analyses, Microarray genes, Short time series, Unsupervised methods, Optimal control systems, Signal processing, Time series analysis
Citation
Published Version (Please cite this version)