New Frontiers of Network Analysis in Systems Biology

Avi Ma'ayan (u. a.)

ISBN 10: 9400743297 / ISBN 13: 9789400743298

Editore: Springer, 2012

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New Frontiers of Network Analysis in Systems Biology | Avi Ma'ayan (u. a.) | Buch | x | Englisch | 2012 | Springer | EAN 9789400743298 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Codice articolo 106526481

Dati bibliografici

• Titolo: New Frontiers of Network Analysis in Systems Biology
• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 9400743297
• ISBN 13: 9789400743298
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 17 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 17 millimetri di profondità
• Peso: 489 grammi
• Cataloghi dei venditori:
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Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.