Applied statistics for network biology :
Applied statistics for network biology : methods in systems biology /
edited by Matthias Dehmer ... [et al.].
- Weinheim, Germany : Wiley-Blackwell, c2011.
- xxiii, 454 p. : ill. (some col.) ; 25 cm.
- Quantitative and network biology ; v.1 .
- Quantitative and network biology ; v.1. .
Includes bibliographical references and index.
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.
9783527327508 (alk. paper) 3527327509 (alk. paper)
Systems biology
Computational Biology.
Statistics as Topic.--Statistical methods.
570.727 / DEH
2011 J-761 QU 26.5
Includes bibliographical references and index.
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.
9783527327508 (alk. paper) 3527327509 (alk. paper)
Systems biology
Computational Biology.
Statistics as Topic.--Statistical methods.
570.727 / DEH
2011 J-761 QU 26.5