Elements of Computational Systems Biology

This comprehensive reference presents cutting-edge and long-ranging research in computational systems biology. It is written by leading experts and covers a range of topics from modeling and learning biological systems to the impact of computational systems biology on drug design and medicine. Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the applications of computational systems biology. These chapters target topics and solutions in computer science, mathematics, physics, biology, and the pharmaceutical and biomedical areas.

HUMA M. LODHI, PhD, MBCS, is a researcher with the Department of Computing, Imperial College London. She has studied at Royal Holloway, University of London and has previously worked as a researcher with the Department of Computer Science, University of Sheffield.

STEPHEN H. MUGGLETON, PhD, FAAAI, is a Professor of Machine Learning, Department of Computing, Imperial College London, and is the Director of Modeling, BBSRC Centre for Integrative Systems Biology, Imperial College London. He is a Fellow of the American Association for Artificial Intelligence and was a professor of machine learning, Department of Computing, University of York.

Both editors have published in leading international conferences and journals.

Overview
Advances in Computational Methodologies for Systems Biology
Biological Network Modelling in System Biology
Simulating Filament Dynamics in Cellular Systems
From DNA Motifs to Gene Networks: A Review of the Physical Interaction Models
Rule-based Modelling and Model Refinement
In Silico Analysis of Combined Therapeutic Strategy for Heart Failure
Models in Systems Biology: The Parameter Problem and the Meanings of Robustness
Biological Network Inference and Analysis in System Biology
Reconstruction of Biological Networks by Supervised Machine Learning Approaches
Metabolic Network Inference from the Integration of Genomic Data and Chemical information
Analysis and Control of Deterministic and Probabilistic Boolean Networks
Integrating Abduction and Induction in Biological Inference using CF-Induction
Genomics and Systems Biology
The Impact of Whole Genome In Silico Screening for Nuclear Receptor Binding Sites in Systems Biology
Probabilistic methods and rate heterogeneity
Environmental and Physiological Insights from Microbial Genome Sequences
System Biology Tools and Experimental Validation
Ali Baba: A Text Mining Tool for Complex Biological Systems
Systems Biology: A (Natural) Computing Point of View
Validation Issues in Regulatory Module Discovery Networks
Computational Imaging and Modeling for System Biology
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Elements of Computational Systems Biology

Summary

Author Biography

Table of Contents

Supplemental Materials