Biological Pattern Discovery with R: Machine Learning Approaches, Zheng Rong Yang
Автор: Priami Corrado, Morine Melissa J. Название: Analysis of Biological Systems ISBN: 1783266872 ISBN-13(EAN): 9781783266876 Издательство: World Scientific Publishing Рейтинг: Цена: 23443.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modeling is fast becoming fundamental to understanding the processes that define biological systems.
New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks.
Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction.
Автор: Azuale F. Название: Bioinformatics and Biomarker Discovery ISBN: 047074460X ISBN-13(EAN): 9780470744604 Издательство: Wiley Рейтинг: Цена: 17464.00 р. Наличие на складе: Поставка под заказ.
Описание: Bioinformatics and Biomarker Discovery: ?€?Omic?€? Data Analysis for Personalized Medicine is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the di
Автор: Speck-Planche, Alejandro Название: Multi-Scale Approaches in Drug Discovery ISBN: 0081011296 ISBN-13(EAN): 9780081011294 Издательство: Elsevier Science Рейтинг: Цена: 27791.00 р. Наличие на складе: Поставка под заказ.
Описание:
Drug discovery is an expensive, time-consuming process and the modern drug discovery community is constantly challenged not only with discovering novel bioactive agents to combat resistance from known diseases and fight against new ones, but to do so in a way that is economically effective. Advances in both experimental and theoretical/computational methods envisage that the greatest challenges in drug discovery can be most successfully addressed by using a multi-scale approach, drawing on the specialties of a whole host of different disciplines. Multi-Scale Approaches to Drug Discovery furnishes chemists with the detail they need to identify drug leads with the highest potential before isolating and synthesizing them to produce effective drugs with greater swiftness than classical methods may allow. This significantly speeds up the search for more efficient therapeutic agents.
After an introduction to multi-scale approaches outlining the need for and benefits of their use, the book goes on to explore a range of useful techniques and research areas, and their potential applications to this process. Profiling drug binding by thermodynamics, machine learning for predicting enzyme sub-classes, and multitasking models for computer-aided design and virtual compound screening are discussed, before the book goes on to review Alkaloid Menispermaceae leads, natural chemotherapeutic agents and methods for speeding up the design and virtual screening of therapeutic peptides. Flavonoids as multi-target compounds are then explored, before the book concludes with a review of Quasi-SMILES as a novel tool.
Collecting together reviews and original research contributions written by leading experts in the field, Multi-Scale Approaches to Drug Discovery highlights cutting-edge approaches and practical examples of their implementation for those involved in the drug discovery process at many different levels. Using the combined knowledge of medicinal, computational, pharmaceutical and bio- chemists, it aims to support growth in the multi-scale approach to promote greater success in the development of new drugs.
Автор: Tekinerdogan, Bedir Название: Multi-Paradigm Modelling Approaches For Cyber-Physical Systems ISBN: 0128191058 ISBN-13(EAN): 9780128191057 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Truly complex, engineered systems, known as Cyber Physical Systems (CPS), are emerging to integrate physical, software, and network domains. To date, no unifying theory, systematic design methods, techniques or tools exist for such systems. Individual (mechanical, electrical, network or software) engineering disciplines offer only partial solutions. Multi-paradigm Modelling (MPM) proposes to model every aspect of these complex systems, at the most appropriate level(s) of abstraction and using the most appropriate modelling formalism(s). Modelling language engineering, including model transformation, and the study of their semantics, are used to realize MPM, which is seen as an effective answer to the challenges of designing Cyber Physical Systems.
Multi-Paradigm Modelling for Cyber-Physical Systems will explore modelling and analysis as crucial activities in the development of Cyber-Physical Systems, which are inherently cross-disciplinary in nature and require distinct modelling techniques related to different disciplines, as well as a common background knowledge bridge to enable communication between all specialties. The book will serve as a reference for anyone starting in the field of CPS who will need a solid foundation of modelling CPS and a comprehensive introduction to the distinct existing techniques, with clear explanations of their advantages and limitations. Although most of these techniques are already used as a matter of common practice in certain disciplines, the knowledge of their fundamentals and applications is typically unfamiliar to practitioners of another area. The net result is the tendency for CPS practitioners to use the technique that they are most comfortable with, disregarding the technique that would be the most adequate for the problem and modelling goal.
This book is aimed at both researchers and practitioners who are interested in various modelling paradigms across computer science and engineering. Researchers will gain novel insights into the basic theories and background, cutting-edge research topics, as well as the related challenges and research directions for model management and analytics. Practitioners will benefit from the presentation of key problems, solution approaches and tools which have been developed or are necessary for model management and analytics.
Автор: Li Xiaoli Et Al Название: Biological Data Mining And Its Applications In Healthcare ISBN: 9814551007 ISBN-13(EAN): 9789814551007 Издательство: World Scientific Publishing Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.
Автор: Zhou Aoying, Dong Qiwen, Jing Xiaoyang, Hu Xiuzhen Название: Biological Language Model: Theory And Application ISBN: 9811212945 ISBN-13(EAN): 9789811212949 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers.
Автор: MacCuish, John David , MacCuish, Norah E. Название: Clustering in Bioinformatics and Drug Discovery ISBN: 1138374237 ISBN-13(EAN): 9781138374232 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.
Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization.
This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested.
Автор: Richard S. Larson Название: Bioinformatics and Drug Discovery ISBN: 1617375098 ISBN-13(EAN): 9781617375095 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates.
Автор: Hamid R. Arabnia; Quoc-Nam Tran Название: Software Tools and Algorithms for Biological Systems ISBN: 1461428440 ISBN-13(EAN): 9781461428442 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: All aspects of software tools and algorithms as they relate to biological systems are covered in this book. The book is composed of a collection of papers, and important topics in the area of computer-based medical systems are also included.
Автор: Kaushik Название: Bioinformatics Techniques for Drug Discovery ISBN: 3319757318 ISBN-13(EAN): 9783319757315 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data.
Автор: Larson Richard S. Название: Bioinformatics and Drug Discovery ISBN: 1588293467 ISBN-13(EAN): 9781588293466 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.
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