Short Time Series Microarray Data Analysis and Biological Annotation

Date

2008-01-01

Author

Sökmen, Zerrin
Atalay, Mehmet Volkan
Atalay, Rengül

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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.

Subject Keywords

Gene-expressıon data

URI

https://hdl.handle.net/11511/45755

DOI

https://doi.org/10.1109/siu.2008.4632669

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

Z. Sökmen, M. V. Atalay, and R. Atalay, “Short Time Series Microarray Data Analysis and Biological Annotation,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45755.