Titlebook: Microarray Data Analysis; Methods and Applicat Pietro Hiram Guzzi Book 2016Latest edition Springer Science+Business Media, LLC, part of Spr

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Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples,ortant when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization.

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Methods and Techniques for miRNA Data Analysis,racterize genomic profiles and identify biomarkers and mutations that can be relevant for diagnosis and designing of clinical therapies. Studies often regard identification of genes related to inherited disorders, but recently mutations and phenotypes are considered both in diseases studies and drug

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Querying Co-regulated Genes on Diverse Gene Expression Datasets Via Biclustering,. One important way of discovering such co-regulations is the query-based search since gene co-expressions may indicate a shared role in a biological process. Although there exist promising query-driven search methods adapting clustering, they fail to capture many genes that function in the same bio

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MetaMirClust: Discovery and Exploration of Evolutionarily Conserved miRNA Clusters, and biological implications, posing a significant challenge for the research community and shifting the bottleneck of scientific discovery from miRNA singletons to miRNA clusters. In addition, the advance in molecular sequencing technique such as next-generation sequencing (NGS) has facilitated res

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Analysis of Gene Expression Patterns Using Biclustering,rch in computational biology. A group of functionally related genes may have similar expression patterns under a set of conditions or at some time points. Biclustering is an important data mining tool that has been successfully used to analyze gene expression data for biologically significant cluste