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Computational Systems Biology of Cancer
Concentrating on the most challenging problems for the molecular biology of cancer, this book provides a systematic overview of the current state of the art in computational systems biology. It presents concepts, algorithmic methods, bioinformatics tools, and biological applications, along with acco...
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| Format: | Printed Book |
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Boca Raton
Taylor & Francis / CRC Press
2013
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| Series: | Chapman and Hall/CRC mathematical & computational biology series.
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| Subjects: |
| LEADER | 01953nam a2200181Ia 4500 | ||
|---|---|---|---|
| 999 | |c 28568 |d 28568 | ||
| 020 | |a 9781439831441 | ||
| 082 | |a 616.994 COM | ||
| 100 | |a Emmanuel Barillot | ||
| 245 | |a Computational Systems Biology of Cancer | ||
| 260 | |a Boca Raton |b Taylor & Francis / CRC Press |c 2013 | ||
| 300 | |a xxix, 423 pages : illustrations (some color) ; 25 cm. | ||
| 490 | |a Chapman and Hall/CRC mathematical & computational biology series. | ||
| 505 | |a Introduction : why systems biology of cancer? -- Basic principles of the molecular biology of cancer -- Experimental high-throughput technologies for cancer research -- Bioinformatics tools and standards for systems biology -- Exploring the diversity of cancers -- Prognosis and prediction : towards individualised treatments -- Mathematical modelling applied to cancer cell biology -- Mathematical modelling of cancer hallmarks -- Cancer robustness : facts and hypotheses -- Cancer robustness : mathematical foundations -- Finding new cancer targets. | ||
| 520 | |a Concentrating on the most challenging problems for the molecular biology of cancer, this book provides a systematic overview of the current state of the art in computational systems biology. It presents concepts, algorithmic methods, bioinformatics tools, and biological applications, along with accompanying tables and illustrations. The authors introduce theoretical elements and demonstrate them using practical approaches with real data. Each chapter begins with an overview of a biological or clinical question of importance in cancer research or treatment, followed by a description of the current state of the art of the field and a list of available resources | ||
| 650 | |a Cancer -- Research -- Methodology. Systems biology. Computational biology. | ||
| 942 | |c BK | ||
| 952 | |0 0 |1 0 |4 0 |6 616_994000000000000_COM |7 0 |9 31278 |a DCB |b DCB |d 2015-09-01 |l 2 |o 616.994 COM |p DCB2136 |r 2020-11-05 |s 2020-10-14 |w 2019-07-19 |y BK | ||