1. EXTRACTION OF CO-BEHAVING GENES BY SIMILARITY ENSEMBLES.
- Author
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MOHAMMADI-JENGHARA, MOSLEM and EBRAHIMPOUR-KOMLEH, HOSSEIN
- Subjects
MICROARRAY technology ,GENE expression ,ALGORITHMS ,YEAST fungi genetics ,BEHAVIOR - Abstract
Microarray technology is used as a source of data for a wide range of biology studies. Useful biological information can be extracted from the analysis of microarray data, namely, the impact of a particular gene expression on the expression of other genes or the determination of expressed genes under different conditions. The purpose of this paper is to find co-behavioral genes in different data sets for different times and conditions. In other words, genes with similar behavior, same increase or decrease, under different medical, stress, and time conditions in terms of expression are determined. Multi-valued discretization of expression data was used for extracting genes with identical behavior. The algorithm proposed in this study is based on data and methods ensemble. The data ensemble technique was used to extract candidate genes with identical behavior. Other methods were also applied on all the data sets; as a result, many co-behavioral candidate genes with different similarity and correlation values were identified. Finally, the ultimate output was created from the ensemble of different methods. By applying the algorithm on yeast gene expression data, meaningful relations among genes were extracted. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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