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This paper presents a comprehensive analysis of a novel temporal dataset of Shewanella oneidensis. Here we propose to cluster the temporal gene expression data of Shewanella oneidensis to define its molecular response at different time intervals following acidic pH and basic pH exposure and to find a relation of these temporal data at different environmental conditions. A mapping between those clusters...
Cluster analysis is an important tool for discovering the structures and patterns hidden in gene expression data. In this paper, a new algorithm for clustering gene expression profiles is proposed. In this method, we find natural clusters in the data based on a competitive learning strategy. Using partially known modes as constraints in our method, we reduce the sensitivity of the clustering procedure...
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