Computational Biology

PUBLISHED


Viewing: 1 - 10 of 55
Published:
April 24, 2013
Author(s):
Alpan Raval; Animesh Ray
The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a 
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Published:
January 23, 2013
Author(s):
Diana Ivanova Stephanova; Bozhidar Dimitrov Kolev
This book covers the computer simulation of demyelinating neuropathies and neuronopathies and compares models with clinical findings. Through the approximation of nerve excitation and conduction, the authors show how the versatile structure of nerve fibers relates to different modes of focal 
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$69.95
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Published:
August 30, 2012
Author(s):
Jung Soh; Paul M.K. Gordon; Christoph W. Sensen
The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and 
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$89.95
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Published:
August 28, 2012
Editor(s):
Paolo Di Giamberardino; Daniela Iacoviello; João Manuel R.S. Tavares; R.M. Natal Jorge
Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7 
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$219.00
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Published:
August 25, 2012
Author(s):
Emmanuel Barillot; Laurence Calzone; Philippe Hupe; Jean-Philippe Vert; Andrei Zinovyev
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput 
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Published:
December 06, 2011
Author(s):
Sorin Drăghici
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, 
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Published:
November 09, 2011
Author(s):
Darren J. Wilkinson
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything 
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$93.95
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Published:
October 17, 2011
Author(s):
Carlo Cosentino; Declan Bates
Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty—such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in 
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Published:
October 10, 2011
Editor(s):
Srikanta Sen; Lennart Nilsson
Thermostable Proteins: Structural Stability and Design provides a comprehensive, updated account of the physical basis of enhanced stability of thermophilic proteins and the design of tailor-made thermostable proteins, paving the way for their possible industrial applications. This book is devoted 
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$104.95
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Published:
June 22, 2011
Author(s):
Peter N. Robinson; Sebastian Bauer
Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications. The first part of the book defines 
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Data Mining "Nobel Prize" Awarded to Series Editor Vipin Kumar

The ACM SIGKDD 2012 Innovation Award, the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), has been awarded to Prof. Vipin Kumar for his technical contributions to foundational research in data mining and its applications to mining scientific and climate data. Prof. Kumar is the editor of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. He has pioneered research in the areas of high performance and parallel data mining. His research group has also been at the forefront in the development of data-driven discovery methods for analyzing global climate and ecosystem data.

 

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