A Novel Ant based Clustering of Gene Expression Data using MapReduce Framework

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Provided by: Auricle Technologies
Topic: Big Data
Format: PDF
Genes which exhibit similar patterns are often functionally related. Microarray technology provides a unique tool to examine how a cell's gene expression pattern changes under various conditions. Analyzing and interpreting these gene expression data is a challenging task. Clustering is one of the useful and popular methods to extract useful patterns from these gene expression data. In this paper multi colony ant based clustering approach is proposed. The whole processing procedure is divided into two parts: the first is the construction of minimum spanning tree from the gene expression data using MapReduce version of ant colony optimization techniques.
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