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|a Frontmatter -- Overview: Advances in Computational Systems Biology / Huma M. Lodhi -- Biological Network Modeling: Models in Systems Biology: The Parameter Problem and the Meanings of Robustness / Jeremy Gunawardena -- Analysis of Combined Therapeutics Strategy for Heart Failure / Sung-Young Shin, Tae-Hwan Kim, Kwang-Hyun Cho, Sang-Mok Choo -- Rule-Based Modeling and Model Refinement / Elaine Murphy, Vincent Danos, Jérôme Féret, Jean Krivine, Russell Harmer -- A (Natural) Computing Perspective on Cellular Processes / Matteo Cavaliere, Tommaso Mazza -- Simulating Filament Dynamics in Cellular Systems / Wilbur E. Channels, Pablo A. Iglesias -- Biological Network Inference: Reconstruction of Biological Networks by Supervised Machine Learning Approaches / Jean-Philippe Vert -- Supervised Inference of Metabolic Networks from the Integration of Genomic Data and Chemical Information / Yoshihiro Yamanishi -- Integrating Abduction and Induction in Biological Inference Using CF-Induction / Yoshitaka Yamamoto, Katsumi Inoue, Andrei Doncescu -- Analysis and Control of Deterministic and Probabilistic Boolean Networks / Tatsuya Akutsu, Wai-Ki Ching -- Probabilistic Methods and Rate Heterogeneity / Tal Pupko, Itay Mayrose -- Genomics and Computational Systems Biology: From DNA Motifs to Gene Networks: A Review of Physical Interaction Models / Panayiotis V. Benos, Alain B. Tchagang -- The Impact of Whole Genome Screening for Nuclear Receptor-Binding Sites in Systems Biology / Carsten Carlberg, Merja Heinäniemi -- Environmental and Physiological Insights from Microbial Genome Sequences / Alessandra Carbone, Anthony Mathelier -- Software Tools for Systems Biology: A B: A Text Mining Tool for Systems Biology / Jörg Hakenberg, Conrad Plake, Ulf Leser -- Validation Issues in Regulatory Module Discovery / Alok Mishra, Duncan Gillies -- Computational Imaging and Modeling for Systems Biology / Ling-Yun Wu, Xiaobo Zhou, Stephen T.C. Wong -- Index.
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|a Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems. Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical scienc.
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