Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Computational Systems Biology of Cancer

By: Material type: TextTextSeries: Chapman and Hall/CRC mathematical & computational biology seriesPublication details: Boca Raton Taylor & Francis / CRC Press 2013Description: xxix, 423 pages : illustrations (some color) ; 25 cmISBN:
  • 9781439831441
Subject(s): DDC classification:
  • 616.994 COM
Contents:
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.
Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 616.994 COM (Browse shelf(Opens below)) Available DCB2136

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.

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

There are no comments on this title.

to post a comment.