Bioinformatics and RNA: A Practice-Based Approach, Sharma, Dolly ; Singh, Shailendra ; Mittal, Mamta

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Автор: Romas, John A. (professor, Department Of Health Science, Minnesota State University-mankato, Usa) Sharma, Manoj (full Professor And Chair Of The Socia
Название: Cognitive intelligence with neutrosophic statistics in bioinformatics
ISBN: 0323994563 ISBN-13(EAN): 9780323994569
Издательство: Elsevier Science
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Цена: 129130.00 T
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Описание: Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics.

In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown.

Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.

Автор: Charles A. Bouman
Название: Foundations of Computational Imaging: A Model-Based Approach
ISBN: 1611977126 ISBN-13(EAN): 9781611977127
Издательство: Mare Nostrum (Eurospan)
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Цена: 70230.00 T
Наличие на складе: Нет в наличии.
Описание: Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:Basic techniques of model-based image processing.A comprehensive treatment of Bayesian and regularized image reconstruction methods.An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.

Название: Structural bioinformatics
ISBN: 0470181052 ISBN-13(EAN): 9780470181058
Издательство: Wiley
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Цена: 121390.00 T
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Описание: Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure.

Автор: Mandoiu
Название: Bioinformatics Algorithms: Techniques and Applications
ISBN: 0470097736 ISBN-13(EAN): 9780470097731
Издательство: Wiley
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Цена: 161510.00 T
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Описание: Bioinformatics Algorithms: Techniques and Applications targets the future collaboration of researchers in algorithms, bioinformatics, and molecular biology. It addresses critical bioinformatics research areas of protein-protein interaction, molecular modeling in drug design, and structural biology.

Автор: Bessant Darren
Название: Building Bioinformatics Solutions
ISBN: 0199658560 ISBN-13(EAN): 9780199658565
Издательство: Oxford Academ
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Цена: 43290.00 T
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Описание: This book introduces the reader to all the key concepts and technologies needed to begin developing their own bioinformatics tools. The new edition includes more bioinformatics-specific content and a new chapter on good software engineering practices to help people working in teams.

Автор: Eleazar Eskin; Trey Ideker; Ben Raphael; Christoph
Название: Systems Biology and Regulatory Genomics
ISBN: 3540482938 ISBN-13(EAN): 9783540482932
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book constitutes the thoroughly refereed post-proceedings of two joint RECOMB 2005 satellite events: the First Annual Workshop on Systems Biology, RSB 2005 and the Second Annual Workshop on Regulatory Genomics, RRG 2005, held in San Diego, CA, USA in December 2005. It contains 21 revised full papers that address a broad variety of topics in systems biology and regulatory genomics.

Автор: Janusz M. Bujnicki
Название: Practical Bioinformatics
ISBN: 3540742670 ISBN-13(EAN): 9783540742678
Издательство: Springer
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Цена: 111790.00 T
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Описание: Presents reviews on computational methods for protein sequence-structure-function analysis, followed by methods that explicitly utilize experimental data routinely obtained in the laboratory to improve the functional predictions.

Автор: Jagath C.- Rajapakse; Bertil Schmidt; Gwenn Volker
Название: Pattern Recognition in Bioinformatics
ISBN: 3540752854 ISBN-13(EAN): 9783540752851
Издательство: Springer
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Цена: 81050.00 T
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Описание: Constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2007, held in Singapore in October 2007. This book includes papers that discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences.

Автор: Shiyi Shen
Название: Theory and Mathematical Methods in Bioinformatics
ISBN: 3540748903 ISBN-13(EAN): 9783540748908
Издательство: Springer
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Цена: 167700.00 T
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Описание: Addresses the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. This work focuses on pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis.

Автор: Henry Horng-Shing Lu; Bernhard Sch?lkopf; Hongyu Z
Название: Handbook of Statistical Bioinformatics
ISBN: 3642268277 ISBN-13(EAN): 9783642268274
Издательство: Springer
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Цена: 269260.00 T
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Описание: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms.

Автор: Friedland Shmuel
Название: Matrices: Algebra, Analysis And Applications
ISBN: 9813141034 ISBN-13(EAN): 9789813141032
Издательство: World Scientific Publishing
Цена: 60190.00 T
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Описание: This Volume Deals With Advanced Topics In Matrix Theory Using The Notions And Tools From Algebra, Analysis, Geometry And Numerical Analysis. It Consists Of Seven Chapters That Are Loosely Connected And Interdependent. The Choice Of The Topics Is Very Personal And Reflects The Subjects That The Author Was Actively Working On In The Last 40 Years. Many Results Appear For The First Time In The Volume. Readers Will Encounter Various Properties Of Matrices With Entries In Integral Domains, Canonical Forms For Similarity, And Notions Of Analytic, Pointwise And Rational Similarity Of Matrices With Entries Which Are Locally Analytic Functions In One Variable. This Volume Is Also Devoted To Various Properties Of Operators In Inner Product Space, With Tensor Products And Other Concepts In Multilinear Algebra, And The Theory Of Non-Negative Matrices. It Will Be Of Great Use To Graduate Students And Researchers Working In Pure And Applied Mathematics, Bioinformatics, Computer Science, Engineering, Operations Research, Physics And Statistics.