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 Fundamentals of Algebraic Topology by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Computer Applications to Private Office Practice by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Ageing in Australia by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Global Overshoot by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Transitioned Media by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Complex Manifolds without Potential Theory by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Surface Microscopy with Low Energy Electrons by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Manual of Diagnostic and Therapeutic Techniques for Disorders of Deglutition by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book The Era of Interactive Media by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Essential Practice of Surgery by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Design of Ultra-Low Power Impulse Radios by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book American Immigration Policy by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Deterministic Global Optimization by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book SRAM Design for Wireless Sensor Networks by Helen L. Kotze, Kaye J. Williams, Emily G. Armitage
Cover of the book Occupational Injuries From Electrical Shock and Arc Flash Events 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