Computational Systems Biology of CancerCRC Press, 25.08.2012 - 461 Seiten The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencin |
Inhalt
Why systems biology of cancer? | 1 |
2 Basic principles of the molecular biology of cancer | 25 |
3 Experimental highthroughput technologies for cancer research | 53 |
4 Bioinformatics tools and standards for systems biology | 105 |
5 Exploring the diversity of cancers | 127 |
Towards individualised treatments | 165 |
7 Mathematical modelling applied to cancer cell biology | 207 |
8 Mathematical modelling of cancer hallmarks | 237 |
Facts and hypotheses | 271 |
Mathematical foundations | 305 |
11 Finding new cancer targets | 337 |
12 Conclusion | 347 |
Appendices | 357 |
Glossary | 373 |
| 381 | |
Andere Ausgaben - Alle anzeigen
Computational Systems Biology of Cancer Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev Eingeschränkte Leseprobe - 2012 |
Computational Systems Biology of Cancer Emmanuel Barillot,Laurence Calzone,Philippe Hupe,Jean-Philippe Vert,Andrei Zinovyev Keine Leseprobe verfügbar - 2020 |
Häufige Begriffe und Wortgruppen
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