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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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Kaumudi M. Bhawe M.S.,Manish K. Aghi M.D., Ph.D.d us to the conclusion that the memory of suffering is not just a legacy but also a heavy weight that needs some form of an answer. Eliminating the option of induced forgetting, the final section will try to offer some new religious perspective on possible navigation between the duty of remembering
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Diego Franco,Fernando Bonet,Francisco Hernandez-Torres,Estefania Lozano-Velasco,Francisco J. Esteban ideals and practical limitations. The text is a valuable resource for religious and social scholars alike, especially those interested in topics of peace, conflict, and justice. From the methodological standpoint, it is an original and audacious attempt at bringing together theological, philosophic
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Querying Co-regulated Genes on Diverse Gene Expression Datasets Via Biclustering, genes need not be related in all samples to be clustered together. Because many genes only interact under specific circumstances, biclustering may recover the relationships that traditional clustering algorithms can easily miss. In this chapter, we briefly summarize the literature using biclusterin
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Integrating Microarray Data and GRNs,RNs, (2) identification of Gene-signatures, and (3) identification of differentially expressed GRN functional paths (i.e., sub-GRN paths that distinguish between different phenotypes). In this chapter, we give an overview of the existing methods that support the different types of gene-expression an
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Functional Analysis of microRNA in Multiple Myeloma,ciferase reporter assay to analyze the specific targeting of the 3′untranslated region (UTR) sequence of a mRNA by selected miRNAs. These technological approaches are suitable strategies for the identification of relevant druggable targets in MM.
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