Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists, Natasa Przulj
Автор: Clelia Falletti, Gabriele Sofia, Victor Jacono Название: Theatre and Cognitive Neuroscience ISBN: 1350035599 ISBN-13(EAN): 9781350035591 Издательство: Bloomsbury Academic Рейтинг: Цена: 5384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first volume to provide a detailed introduction to some of the main areas of research and practice in the interdisciplinary field of art and neuroscience. With contributions from neuroscientists, theatre scholars and artists from seven countries, it offers a rich and rigorous array of perspectives as a springboard to further exploration. Divided into four parts, each prefaced by an expert editorial introduction, it examines: * Theatre as a space of relationships: a neurocognitive perspective * The spectator’s performative experience and ‘embodied theatrology’ * The complexity of theatre and human cognition * Interdisciplinary perspectives on applied performance Each part includes contributions from international pioneers of interdisciplinarity in theatre scholarship, and from neuroscientists of world-renown researching the physiology of action, the mirror neuron mechanism, action perception, space perception, empathy and intersubjectivity. While illustrating the remarkable growth of interest in the performing arts for cognitive neuroscience, this volume also reveals the extraordinary richness of exchange and debate born out of different approaches to the topics.
Описание: Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions.In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.
Описание: Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions.In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.
Автор: Roger A. Barker, Francesca Cicchetti, Emma Robinso Название: Neuroanatomy and Neuroscience at a Glance ISBN: 1119168414 ISBN-13(EAN): 9781119168416 Издательство: Wiley Рейтинг: Цена: 4902.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Everything you need to know about Neuroanatomy and Neuroscience at a Glance! Neuroanatomy and Neuroscience at a Glance is a highly illustrated, quick reference guide to the anatomy, biochemistry, physiology and pharmacology of the human nervous system.
Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.
Автор: Clelia Falletti, Gabriele Sofia, Victor Jacono Название: Theatre and Cognitive Neuroscience ISBN: 1472584783 ISBN-13(EAN): 9781472584786 Издательство: Bloomsbury Academic Рейтинг: Цена: 19008.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first volume to provide a detailed introduction to some of the main areas of research and practice in the interdisciplinary field of art and neuroscience. With contributions from neuroscientists, theatre scholars and artists from seven countries, it offers a rich and rigorous array of perspectives as a springboard to further exploration. Divided into four parts, each prefaced by an expert editorial introduction, it examines: * Theatre as a space of relationships: a neurocognitive perspective * The spectator’s performative experience and ‘embodied theatrology’ * The complexity of theatre and human cognition * Interdisciplinary perspectives on applied performance Each part includes contributions from international pioneers of interdisciplinarity in theatre scholarship, and from neuroscientists of world-renown researching the physiology of action, the mirror neuron mechanism, action perception, space perception, empathy and intersubjectivity. While illustrating the remarkable growth of interest in the performing arts for cognitive neuroscience, this volume also reveals the extraordinary richness of exchange and debate born out of different approaches to the topics.
Автор: Marshall Christina Название: Textbook of Computational Biology and Bioinformatics ISBN: 1682862348 ISBN-13(EAN): 9781682862346 Издательство: Неизвестно Цена: 24943.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics aids the discipline of biology by developing tools and techniques to interpret and analyze all types of biological data through numerical and computational modeling. The focus of this book lies in the concepts of genome annotation, structural bioinformatics, comparative genomics, etc. It aims to bring forth the latest researches from across the globe to keep the readers updated with the progress of this field. This text is an apt reference material for students, academicians as well as professionals.
Автор: Krzysztof Pancerz; Elena Zaitseva Название: Computational Intelligence, Medicine and Biology ISBN: 3319368524 ISBN-13(EAN): 9783319368528 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains an interesting and state-of the art collection of chapters presenting several examples of attempts to developing modern tools utilizing computational intelligence in different real life problems encountered by humans.
Автор: Dustin R. Rubenstein and Patrick Abbot Название: Comparative Social Evolution ISBN: 1107647924 ISBN-13(EAN): 9781107647923 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bringing together the principle taxonomic groups, from ants to primates, this volume provides a unique perspective on the evolution of cooperative group living. The chapters synthesize features of animal social life to foster the development of a framework for a common, trait-based approach towards social synthesis.
Автор: Goran Rakocevic; Tijana Djukic; Nenad Filipovic; V Название: Computational Medicine in Data Mining and Modeling ISBN: 1493948342 ISBN-13(EAN): 9781493948345 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient`s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.
Автор: Goran Rakocevic; Tijana Djukic; Nenad Filipovic; V Название: Computational Medicine in Data Mining and Modeling ISBN: 1461487846 ISBN-13(EAN): 9781461487845 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient`s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.
Автор: Rubenstein Название: Comparative Social Evolution ISBN: 1107043395 ISBN-13(EAN): 9781107043398 Издательство: Cambridge Academ Рейтинг: Цена: 15523.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bringing together the principle taxonomic groups, from ants to primates, this volume provides a unique perspective on the evolution of cooperative group living. The chapters synthesize features of animal social life to foster the development of a framework for a common, trait-based approach towards social synthesis.
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