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This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It analyzes individual entities as well as more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein families and classifying new instances. The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms.…mehr

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Produktbeschreibung
This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It analyzes individual entities as well as more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein families and classifying new instances. The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms.

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Autorenporträt
Golan Yona is a senior scientist at Stanford University. He is leader of the Biozon project, a large-scale platform for the integration of heterogeneous biological data, including DNA and protein sequences, structures, gene expression data, interactions, and pathways.