000 | 02995cam a22003497a 4500 | ||
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999 |
_c30432 _d30432 |
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003 | CUTN | ||
005 | 20190829110019.0 | ||
008 | 120202s2011 gw a b 001 0 eng | ||
020 | _a9783527327508 (alk. paper) | ||
020 | _a3527327509 (alk. paper) | ||
041 | _aEnglish | ||
042 |
_anlmcopyc _alccopycat |
||
060 | 0 | 0 | _a2011 J-761 |
060 | 1 | 0 | _aQU 26.5 |
082 | 0 | 4 |
_a570.727 _222 _bDEH |
245 | 0 | 0 |
_aApplied statistics for network biology : _bmethods in systems biology / _cedited by Matthias Dehmer ... [et al.]. |
260 |
_aWeinheim, Germany : _bWiley-Blackwell, _cc2011. |
||
300 |
_axxiii, 454 p. : _bill. (some col.) ; _c25 cm. |
||
505 | 0 |
_tPt. 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 -- _tPt. 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 -- _t 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 -- _t 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. |
|
650 | 0 | _aSystems biology | |
650 | 1 | 2 | _aComputational Biology. |
650 | 2 | 2 | _aStatistics as Topic. |
700 | 1 | _aDehmer, Matthias, | |
942 |
_2ddc _cBOOKS |
||
490 | 1 |
_aQuantitative and network biology ; _vv.1 |
|
504 | _aIncludes bibliographical references and index. | ||
650 | 0 | _xStatistical methods. | |
700 | 1 | _d1968- | |
830 | 0 |
_aQuantitative and network biology ; _vv.1. |
|
906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |