Full Product DetailsAuthor: Avi Ma'Ayan , Ben D. MacArthur
Dimensions: Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
ISBN 10: 9400743297
Publication Date: 28 June 2012
Audience: Professional and scholarly , Professional & Vocational
Publisher's Status: Active
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Table of ContentsPreface.- 1. Gene expression profiling of single cells, Fumio Arai, Kentaro Hosokawa, Yoshiko Matsumoto, Hirofumi Toyama, Toshio Suda.- 2. Cell Fate Regulatory Networks, Sonya J. Ridden and Ben D. MacArthur.- 3. Noise in Regulatory Networks, Srinandan Dasmahapatra.- 4. Generalised Modelling in Systems Biology, Thilo Gross.- 5. Relative quantification mass spectrometry using iTRAQ isobaric tags, Richard D. Unwin, Emma Carrick, Anthony D. Whetton.- 6. Deciphering Protein Complexes and Protein Interaction Networks for Stem Cell Pluripotency, Jianlong Wang.- 7. Omics era in stem cell research: data integration of multi-regulatory layers, Ana Sevilla, Benjamin Trinite, Ihor Lemischka.- 8. High Throughput Affinity Purification and Mass Spectrometry to Determine Protein Complex Interactions, Anna Malovannaya, Rainer B. Lanz, Bert W. O'Malley, and Jun Qin.- 9. Network Pharmacology to Aid the Drug Discovery Process, Ruth Dannenfelser, Huilei Xu, Catherine Raimond, and Avi Ma'ayan.- 10. What can networks do for you?, Bernhard M. Schuldt, Franz-Josef Muller and Andreas A. Schuppert.- Index.
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.
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