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Analysis of Biological Networks
An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networ...
Advances in Chemical Physics, Volume 142
The Advances in Chemical Physics series presents the cutting edge in every area of the discipline and provides the field with a forum for critical, authoritative evaluations of advances. It provides an editorial framework that makes each volume an excellent supplement to advanced graduate classes, with contributions from experts around the world and a handy glossary for easy reference on new terminology. This series is a wonderful guide for students and professionals in chemical physics and physical chemistry, from academia, government, and industries including chemicals, pharmaceuticals, and polymers.
Machine Learning in Bioinformatics
An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalizatio...
International Review of Cell and Molecular Biology
International Review of Cell and Molecular Biology presents current advances and comprehensive reviews in cell biology--both plant and animal. Articles address structure and control of gene expression, nucleocytoplasmic interactions, control of cell development and differentiation, and cell transformation and growth. Impact factor for 2008: 4.935. - Authored by some of the foremost scientists in the field - Provides up-to-date information and directions for future research - Valuable reference material for advanced undergraduates, graduate students and professional scientists
Rough-Fuzzy Pattern Recognition
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection....
Computational Intelligence and Pattern Analysis in Biology Informatics
An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary str...
Bioinformatics Algorithms
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and ...
Modeling in Systems Biology
The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental technologies in biology and medicine have generated an enormous amount of biological data on the dependencies and interactions of many different molecular cell processes, fueling the development of numerous computational methods for exploring this data. The mathematical formalism of Petri net theory is able to encompass many of these techniques. This essential text/reference presents a comprehensive o...
Mathematical and Computational Methods in Biomechanics of Human Skeletal Systems
Cutting-edge solutions to current problems in orthopedics, supported by modeling and numerical analysis Despite the current successful methods and achievements of good joint implantations, it is essential to further optimize the shape of implants so they may better resist extreme long-term mechanical demands. This book provides the orthopedic, biomechanical, and mathematical basis for the simulation of surgical techniques in orthopedics. It focuses on the numerical modeling of total human joint replacements and simulation of their functions, along with the rigorous biomechanics of human joints and other skeletal parts. The book includes: An introduction to the anatomy and biomechanics of the...
Plant Metabolic Networks
Plants are the basis for human nutrition and of increasing interest for the chemical industry as a source of chemical feed stocks. Fuels derived from plant biomass will increasingly replace fossil fuels in the future. In order to increase crop productivity, design new plant products, and create new energy crops, there is need for methods of qualitative and quantitative analysis of metabolism which are able to guide the rational re-design of metabolic networks. In this book, recent advances in qualitative and quantitative analysis of metabolism are summarized to give an overview of the current state of knowledge. Principles of the analysis of network structure, flux analysis, and kinetic modeling are described. Analytical methods necessary to produce the data needed for metabolic flux analysis and for kinetic modeling are described. The analysis of larger metabolic networks is only possible by using computer assistance. Therefore each chapter of the book shall also describe software available for this purpose.
