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Cancer Systems Biology: Translational Mathematical Oncology

210,00 189,00

Over the centuries, civilization has seen considerable advances in healthcare. Cancer is among the most challenging healthcare issues that we face today, but a number of discoveries have led to better care. Despite all the progress and the promise regarding early detection and precision medicine, we are still faced with the nettlesome problem – cancer is a moving target. Even within an individual tumour, deep sequencing analyses now indicate multiple, phenotypically distinct subpopulations, whose representation seems to vary dramatically from one stage to the next as the tumour progresses. Cancer Systems Biology provides state-of-the-art reviews and thought-provoking ideas in a concise and succinct manner. This insightful textbook is a crosspollination of concepts from multiple disciplines and experimental approaches to study cancer. The chapters provide new ideas and thoughts outlining how a quantitative picture of cancer can provide a deeper understanding of the disease, and how a systems level perspective may hold the key to fully comprehend how cancer arises and progresses. Written by experts in multiple disciplines, including systems biologists, science researchers, physicists, mathematicians, and clinicians, Cancer Systems Biology provides a comprehensive, up-to-date, treatise devoted to understanding cancer from a systems perspective. Providing new conceptual insights that can aid precision medicine, it will be essential reading for academic researchers in the field, clinicians, graduate students, and scientists with an interest in cancer biology.

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Διαθέσιμο κατόπιν παραγγελίας

Κωδικός προϊόντος: 9780192867636 Κατηγορίες: , ,

Επιπρόσθετες Πληροφορίες

Σκληρό Εξώφυλλο

Yes

Διαστάσεις

22Χ28

Συγγραφείς

Ravi Salgia, Mohit Kumar Jolly, Prakash Kulkarni, Govindan Rangarajan

ISBN

9780192867636

Διαθεσιμότητα

Κατόπιν Παραγγελίας εντός περίπου 20 Ημερών

ΣΕΛΙΔΕΣ

480

Έκδοση

1η, 09/2025

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