Systems Biology: Integrative Biology and Simulation Tools

Functional genomics, proteomics, metabolomics and bioinformatics for systems biology.- Comparing biological networks: a survey on graph classifying techniques.- Emergent properties of gene regulatory networks - models and data.- Regulatory crosstalk analysis of biochemical networks in the nucleus accumbens.- Properties of biological networks.- Network analysis for systems biology.- Computational approaches for reconstruction of time-varying biological networks from Omics data.- Probabilistic graphical modeling in systems biology: a framework for integrative approaches.- Innovations of the rule-based modeling approach.- Reproducibility of model-based results in systems biology.- Parameter identifiability and redundancy, with applications to a general class of stochastic carcinogenesis models.- Semantic systems biology: formal knowledge representation in systems biology for model construction, retrieval, validation and discovery.- Computational infrastructures for data and knowledge management in systems biology.- Computational tools and resources for integrative modeling in systems biology.- Agent-based modeling approaches to multi-scale systems biology: An example agent-based model of acute pulmonary inflammation.- Reconstructing cellular signaling and regulatory networks - an integrative approach for systems-level drug discovery.- A survey of current integrative network algorithms for systems biology.- Direct Computer Mapping based modeling of a multiscale process, involving p53/miR-34a signaling.

• Format: Paperback
• Language: English
• ISBN: 9400794541
• ISBN13: 9789400794542
• Release Date: August 2015
• Publisher: Springer
• Length: 553 Pages
• Weight: 1.79 lbs.
• Dimensions: 1.2" x 6.1" x 9.2"