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This latest volume in the successful Network Biology series presents current methods for determining the entropy of networks, covering the analysis of mathematical properties of methods as well as applications in areas ranging from applied mathematics to chemical graph theory.
Written by a high-profile international author and editor team, this handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods for designing empirical models involving molecular descriptors within bioinformatics.
Follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. Of ever increasing significance for novel computational areas in biomedical sciences such as systems biology or neuronal network analysis. Written by renowned experts in the field.
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