New Frontiers of Network Analysis in Systems Biology

Editors: Ma'ayan, Avi, MacArthur, Ben D. (Eds.)

  • Provides in depth knowledge in an area of research that is difficult to master because it is new and emerging, as well as very multidisciplinary
  • Covers topics not yet available in other text books
  • Discusses concepts and ideas in a novel point of view about emerging design patterns observed in empirical complex systems including biological regulatory molecular networks
see more benefits

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-94-007-4330-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.00
price for USA
  • ISBN 978-94-007-4329-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.00
price for USA
  • ISBN 978-94-007-9919-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.

About the authors

Avi Ma’ayan, Ph.D., is an Assistant Professor in the Department of Pharmacology and Systems Therapeutics at Mount Sinai School of Medicine, New York, NY, USA. His interests are in applying graph theory, machine learning, dimensionality reduction, dynamical modeling, and visualization methods for integrating “omics” datasets collected from mammalian sources to better understand biological regulation on a global scale.

Ben D. MacArthur, Ph.D., is a Lecturer in Mathematics at the Life Science Interface in the Schools of Mathematics and Medicine at the University of Southampton, UK. His interests are in applying mathematical methods to problems in cell and molecular biology including modeling of cell fate, analysis of the structure and function of biological regulatory networks, and high throughput data analysis and bioinformatics.

Table of contents (10 chapters)

  • Gene Expression Profiling and Regulatory Networks in Single Cells

    Arai, Fumio (et al.)

    Pages 1-13

  • Cell Fate Regulatory Networks

    Ridden, Sonya J. (et al.)

    Pages 15-29

  • Noise in Regulatory Networks

    Dasmahapatra, Srinandan

    Pages 31-58

  • Generalised Modelling in Systems Biology

    Gross, Thilo

    Pages 59-75

  • Relative Quantification Mass Spectrometry Using iTRAQ Isobaric Tags

    Unwin, Richard D. (et al.)

    Pages 77-95

Buy this book

eBook $169.00
price for USA (gross)
  • ISBN 978-94-007-4330-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.00
price for USA
  • ISBN 978-94-007-4329-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.00
price for USA
  • ISBN 978-94-007-9919-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
New Frontiers of Network Analysis in Systems Biology
Editors
  • Avi Ma'ayan
  • Ben D. MacArthur
Copyright
2012
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-007-4330-4
DOI
10.1007/978-94-007-4330-4
Hardcover ISBN
978-94-007-4329-8
Softcover ISBN
978-94-007-9919-6
Edition Number
1
Number of Pages
X, 202
Topics