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Applied statistics for network biology : methods in systems biology

Author: Matthias Dehmer
Publisher: Weinheim, Germany : Wiley-Blackwell, ©2011.
Series: Quantitative and network biology, v. 1.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems  Read more...

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Named Person: Biologisches System.; Datenanalyse.
Document Type: Book
All Authors / Contributors: Matthias Dehmer
ISBN: 9783527327508 3527327509
OCLC Number: 744519402
Description: xxiii, 454 pages : illustrations (some color) ; 25 cm.
Contents: pt. One. Modeling, simulation, and meaning of gene networks: 1. Network analysis to interpret complex phenotypes --
2. Stochastic modeling of gene regulatory networks --
3. Modeling expression quantitative trait loci in multiple populations --
pt. Two. Inference of gene networks: 4. Transcriptional network inference based on information theory --
5. Elucidation of general and condition-dependent gene pathways using mixture models and bayesian networks --
6. Multiscale network reconstruction from gene expression measurements: correlations, perturbations, and "A Priori Biological Knowledge" --
7. Gene regulatory networks inference: combining a genetic programming and H [infinity symbol] filtering approach --
8. Computational reconstruction of protein interaction networks --
pt. Three. Analysis of gene networks: 9. What if the fit is unfit? Criteria for biological systems estimation beyond residual errors --
10. Machine learning methods for identifying essential genes and proteins in networks --
11. Gene coexpression networks for the analysis of DNA microarray data --
12. Correlation network analysis and knowledge integration --
13. Network screening: a new method to identify active networks from an ensemble of known networks --
14. Community detection in biological networks --
15. On some inverse problems in generating probabilistic boolean networks --
16. Boolean analysis of gene expression datasets --
pt. Four. Systems approach to diseases: 17. Representing cancer cell trajectories in a phase-space diagram: switching cellular states by biological phase transitions --
18. Protein network analysis for disease gene identification and prioritization --
19. Pathways and networks as functional descriptors for human disease and drug response endpoints.
Series Title: Quantitative and network biology, v. 1.
Responsibility: edited by Matthias Dehmer [and others].

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