Correlation-based network analysis of cancer metabolism

A new systems biology approach in metabolomics

Nonfiction, Science & Nature, Science, Other Sciences, Molecular Biology, Biological Sciences
Cover of the book Correlation-based network analysis of cancer metabolism by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Helen L. Kotze, Kaye J. Williams, Emily G. Armitage ISBN: 9781493906154
Publisher: Springer New York Publication: May 12, 2014
Imprint: Springer Language: English
Author: Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
ISBN: 9781493906154
Publisher: Springer New York
Publication: May 12, 2014
Imprint: Springer
Language: English

With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.

More books from Springer New York

Cover of the book Structured Peer-to-Peer Systems by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Geological CO2 Storage Characterization by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Bio/CMOS Interfaces and Co-Design by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book An Atlas of Mammalian Chromosomes by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Longwave Instabilities and Patterns in Fluids by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Transanal Endoscopic Microsurgery by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Handbook of Sociology of Aging by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Essentials of Water Systems Design in the Oil, Gas, and Chemical Processing Industries by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Understanding Family Firms by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Introduction to Vortex Filaments in Equilibrium by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Ultrasound in the Intensive Care Unit by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book The Phantoms of Medical and Health Physics by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book A Concise Introduction to Mathematical Logic by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Fundamentals of Dermatology by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy