Автор: Bujnicki Janusz M. Название: Practical Bioinformatics ISBN: 3540206132 ISBN-13(EAN): 9783540206132 Издательство: Springer Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is unique in that. It bridges the gap between bioinformaticists and molecular biologists, i.e. the developers and the users of computational methods for biological data analysis and in that it presents examples of practical applications of the bioinformatics tools in the "daily practice" of an experimental research scientist. The book starts with reviews on computational methods for protein sequence-structure-function analysis (sequence studies, structure prediction), followed by methods that explicitly utilize experimental data routinely obtained in the laboratory to improve the functional predictions. The second part comprises a series of examples on how particular applications of different types of bioinformatics methods in combination with experimental studies to validate the hypotheses have led to important scientific discoveries. Therefore, the book is a guide to application of bioinformatics methods in molecular biology, addressed mainly to the research scientists, postdocs, and advanced graduate students.
Автор: Anna-Lena Lamprecht Название: User-Level Workflow Design ISBN: 3642453880 ISBN-13(EAN): 9783642453885 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses requirement-centric workflow design as an instance of consequent constraint-driven development, in four different scenarios: phylogenetic analysis, the dedicated GeneFisher-P scenario, the FiatFlux-P scenario, and microarray data analyses.
Автор: Ronald J.A. Trent Название: Clinical Bioinformatics ISBN: 1617377813 ISBN-13(EAN): 9781617377815 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the ever-increasing volume of information in clinical medicine, researchers and health professionals need computer-based storage, processing and dissemination. In this book, leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Автор: Rui Jiang; Xuegong Zhang; Michael Q. Zhang Название: Basics of Bioinformatics ISBN: 3642389503 ISBN-13(EAN): 9783642389504 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers fundamental topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics held in Tsinghua University. It can serve as both a primer for beginners as well as a reference for researchers in the field.
Автор: Jo?o C. Setubal; Nalvo F. Almeida Название: Advances in Bioinformatics and Computational Biology ISBN: 3319026232 ISBN-13(EAN): 9783319026237 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th Brazilian Symposium on Bioinformatics, BSB 2013, held in Recife, Brazil, in November 2013. The 18 regular papers presented were carefully reviewed and selected for inclusion in this book. The papers cover all aspects of bioinformatics and computational biology.
Автор: Hans-Joachim B?ckenhauer; Dirk Bongartz Название: Algorithmic Aspects of Bioinformatics ISBN: 3642091008 ISBN-13(EAN): 9783642091001 Издательство: Springer Рейтинг: Цена: 11099.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. This book presents formal models in a mathematically precise, yet intuitive manner.
Автор: Wies?awa Wid?ak Название: Molecular Biology - Not Only for Bioinformaticians ISBN: 3642453600 ISBN-13(EAN): 9783642453601 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this primer for IT specialists on the aspects of molecular biology and medicine that lend themselves to the application of computer science, budding bioinformaticians will find clear explanations of everything from cell and protein structure to DNA repair.
Автор: Rune Matthiesen Название: Bioinformatics Methods in Clinical Research ISBN: 1617796700 ISBN-13(EAN): 9781617796708 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering the latest developments in clinical omics, this volume details the algorithms currently used in publicly available software tools. It looks at statistics, algorithms, automated data retrieval, and experimental consideration in the various omics areas.
Автор: Warren J. Ewens; Gregory R. Grant Название: Statistical Methods in Bioinformatics ISBN: 1441923020 ISBN-13(EAN): 9781441923028 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community.
This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods.
The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized.
The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text.
Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science.
Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999.
Comments on the First Edition. "This book would be an ideal text for a postgraduate course... and] is equally well suited to individual study.... I would recommend the book highly" (Biometrics). "Ewens and Grant have given us a very welcome introduction to what is behind those pretty graphical user] interfaces" (Naturwissenschaften.). "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details" (Journal. American Staistical. Association). "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book" (Metrika).
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
