Computational systems biology /
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| Imprint: | Totowa, N.J. : Humana ; London : Springer [distributor], 2009. |
|---|---|
| Description: | xviii, 587 p. : ill. (some col.) ; 27 cm. |
| Language: | English |
| Series: | Methods in molecular biology ; 541 Methods in molecular biology (Clifton, N.J.) ; v. 541. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/7708293 |
Table of Contents:
- Preface
- Contributors
- Color Plates
- Part I. Network Components
- 1. Indentification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM
- 2. Structure-Based Ab Initio Prediction of Transcription Factor-Binding Sites
- 3. Inferring Protein-Protein Interactions from Multiple Protein Domain Combinations
- 4. Prediction of Protein-Protein Interactions: A Study of the Co-Evolution Model
- 5. Computational Reconstruction of Protein-Protein Interaction Networks: Algorithms and Issues
- 6. Prediction and Integration of Regulatory and Protein-Protein Interactions
- 7. Detecting Hierrchical Modularity in Biological Networks
- Part II. Network Inference
- 8. Methods to Reconstruct and Compare Transcriptional Regulatory Networks
- 9. Learning Global Models of Transcriptional Regulatory Networks from Data
- 10. Inferring Molecular Interactions Pathways from eQTL Data
- 11. Methods for the Inference of Biological Pathways and Networks
- Part III. Network Dynamics
- 12. Exploring Pathways from Gene Co-expression to Network Dynamics
- 13. Network Dynamics
- 14. Kinetic Modeling of Biological Systems
- 15. Guidance for Data Collection and Computational Modelling of Regulatory Networks
- Part IV. Function and Evolutionary Systems Biology
- 16. A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure
- 17. Enzyme Function Prediction with Interpretable Models
- 18. Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues
- 19. Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics
- 20. Effects of Functional Bias on Supervised Learning of a Gene Network Model
- Part V. Computational Infrastructure for Systems Biology
- 21. Comparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters
- 22. The Bioverse API and Web Application
- 23. Computational Representation of Biological Systems
- 24. Biological Network Inference and Analysis Using SEBINI and CABIN
- Index
