Titlebook: Computational Systems Biology; Reneé Ireton,Kristina Montgomery,Jason McDermott Book 2009 Humana Press 2009 Analysis.algorithms.bioinforma

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David B. Audretsch,Werner B?nte,Max Keilbachusing a Gibbs sampling algorithm implemented in the A-GLAM software package. Using this approach, we analyze the cell-cycle co-expression network of the yeast ., showing that this approach correctly identifies .-regulatory elements present in clusters of co-expressed genes.

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Forest Assessment and Observation,e degree, a property that can be used as a signature of hierarchical organization. As a case study, I identify the hierarchical modules within the . metabolic network, and show that the uncovered hierarchical modularity closely overlaps with known metabolic functions.

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Detecting Hierarchical Modularity in Biological Networkse degree, a property that can be used as a signature of hierarchical organization. As a case study, I identify the hierarchical modules within the . metabolic network, and show that the uncovered hierarchical modularity closely overlaps with known metabolic functions.

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International Studies in Entrepreneurshipmodel are considered, including algorithms that attempt to identify the subset of the database proteins (the homologs of the query proteins) that are more likely to interact. We test the models over a large set of protein interactions extracted from several sources, including BIND, DIP, and HPRD.

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International Year of Planet Earth. In this chapter, we will focus in detail on the first approach and describe methods to reconstruct and analyze the transcriptional regulatory networks of uncharacterized organisms by using a known regulatory network as a template.