Titlebook: Methods of Microarray Data Analysis V; Patrick McConnell,Simon M. Lin,Patrick Hurban Book 2007 Springer-Verlag US 2007 CAMDA 2005.Expressi

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Aidan J. Peterson,Andrew V. Kossenkov,Michael F. Ochsinsulation system of transformers. It is a reliable tool for predictive maintenance of such equipment in the field. In this method each test object is considered as a black box accessible only through its terminals. Consequently this method identifies the global changes in the insulation condition a

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Oxidative Stress Genes in , as Indicated by Temporal Gene Expression,panied by the production of chemically reactive and toxic molecules called oxidants. Examination of the temporal sequence of gene expression during the intraerythrocytic development cycle (IDC) [Bozdech, Z., et al., ., .(1) (2003), 1–16] can help elucidate how . responds to these self-generated harm

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Identifying Stage-Specific Genes by Combining Information from Two Different Types of Oligonucleoti complete its life cycle. In this study, we address this question through the combined analysis of gene expression data collected from two distinct microarray platforms. Although it is intuitive that a joint analysis is likely to be more informative than that based on a single source, such analysis

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Construction of Malaria Gene Expression Network Using Partial Correlations,ession network is constructed based on a novel method that combines two types of correlations between each pair of genes: standard Pearson and partial correlations. A link is established between two genes if both correlation coefficients are higher than their corresponding thresholds. The values for

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Detecting Network Motifs in Gene Co-expression Networks Through Integration of Protein Domain Inforur research groups are developing graph-theory based strategies for the analysis of gene expression data. We are looking for groups of completely connected subgraphs (e.g., cliques) in co-expression networks in which corresponding members (genes) encode proteins with the same combination of protein

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Chromosomal Clustering of Periodically Expressed Genes in ,, unexplored. In this study we investigated chromosomal clusters of PEGs in stages of intraerythrocytic developmental cycle (IDC) of . using the cDNA microarray data provided by the organizers of the Critical Assessment of Microarray Data Analysis (CAMDA) 2004 competition. To this end, we implemented

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