Computational Systems Biology (2005)

Description

Description: Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts.

This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.

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1. Ebooks list page : 3320
2. Artificial Intelligence Methods and Tools for Systems Biology (Computational Biology)
3. Computational Systems Biology (Methods in Molecular Biology): Jason McDermott, et al.
4. Artificial Intelligence Methods and Tools for Systems Biology (Computational Biology)
5. Computational Systems Bioinformatics: CSB2006 Conference Proceedings Stanford CA, 14-18 August 2006 (Series on Advances in Bioinformatics and Computational Biology)
6. Computational Biology: A Statistical Mechanics Perspective (Chapman & Hall/Crc Mathematical and Computational Biology Series)
7. Computational Systems Biology, Vol. 541
8. Transactions on Computational Systems Biology X
9. Transactions on Computational Systems Biology IX
10. Transactions on Computational Systems Biology
11. Computational Methods in Systems Biology
12. Transactions on Computational Systems Biology IX
13. Computational Methods in Systems Biology
14. Fuzzy Systems in Bioinformatics and Computational Biology
15. Transactions on Computational Systems Biology VIII
16. Transactions on Computational Systems Biology V by Tony Hu