Network Bioscience 2nd Edition

Author : Marco Pellegrini,Marco Antoniotti,Bud Mishra
Publisher : Frontiers Media SA
Page : 270 pages
File Size : 52,8 Mb
Release : 2020-03-27
Category : Electronic
ISBN : 9782889636501

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Network Bioscience, 2nd Edition by Marco Pellegrini,Marco Antoniotti,Bud Mishra Pdf

Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of 'big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being collected at nation-wide level thus giving us another source of highly related (causal) 'big data'. This wealth of data is usually modeled as networks (aka binary relations, graphs or webs) of interactions, (including protein-protein, metabolic, signaling and transcription-regulatory interactions). The network model is a key view point leading to the uncovering of mesoscale phenomena, thus providing an essential bridge between the observable phenotypes and 'omics' underlying mechanisms. Moreover, network analysis is a powerful 'hypothesis generation' tool guiding the scientific cycle of 'data gathering', 'data interpretation, 'hypothesis generation' and 'hypothesis testing'. A major challenge in contemporary research is the synthesis of deep insights coming from network science with the wealth of data (often noisy, contradictory, incomplete and difficult to replicate) so to answer meaningful biological questions, in a quantifiable way using static and dynamic properties of biological networks.

Author : Alla Borisyuk,G. Bard Ermentrout,Avner Friedman,David H. Terman
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 54,8 Mb
Release : 2005-02-18
Category : Mathematics
ISBN : 3540238581

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Tutorials in Mathematical Biosciences I by Alla Borisyuk,G. Bard Ermentrout,Avner Friedman,David H. Terman Pdf

This volume introduces some basic theories on computational neuroscience. Chapter 1 is a brief introduction to neurons, tailored to the subsequent chapters. Chapter 2 is a self-contained introduction to dynamical systems and bifurcation theory, oriented towards neuronal dynamics. The theory is illustrated with a model of Parkinson's disease. Chapter 3 reviews the theory of coupled neural oscillators observed throughout the nervous systems at all levels; it describes how oscillations arise, what pattern they take, and how they depend on excitory or inhibitory synaptic connections. Chapter 4 specializes to one particular neuronal system, namely, the auditory system. It includes a self-contained introduction, from the anatomy and physiology of the inner ear to the neuronal network that connects the hair cells to the cortex, and describes various models of subsystems.

Author : Todd D. Little
Publisher : Oxford Library of Psychology
Page : 536 pages
File Size : 55,6 Mb
Release : 2014
Category : Psychology
ISBN : 9780199370153

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The Oxford Handbook of Quantitative Methods by Todd D. Little Pdf

This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.

Author : Das, Sanjoy,Caragea, Doina,Welch, Stephen,Hsu, William H.
Publisher : IGI Global
Page : 740 pages
File Size : 51,7 Mb
Release : 2009-10-31
Category : Computers
ISBN : 9781605666860

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Handbook of Research on Computational Methodologies in Gene Regulatory Networks by Das, Sanjoy,Caragea, Doina,Welch, Stephen,Hsu, William H. Pdf

"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.

Author : Mark R. T. Dale,Marie-Josée Fortin
Publisher : Cambridge University Press
Page : 233 pages
File Size : 53,7 Mb
Release : 2021-04-15
Category : Language Arts & Disciplines
ISBN : 9781108491846

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Quantitative Analysis of Ecological Networks by Mark R. T. Dale,Marie-Josée Fortin Pdf

Displays the broad range of quantitative approaches to analysing ecological networks, providing clear examples and guidance for researchers.

Author : Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira
Publisher : CRC Press
Page : 234 pages
File Size : 41,5 Mb
Release : 2020-09-01
Category : Business & Economics
ISBN : 9780429775550

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Statistical Learning Using Neural Networks by Basilio de Braganca Pereira,Calyampudi Radhakrishna Rao,Fabio Borges de Oliveira Pdf

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.

Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
Page : 1857 pages
File Size : 53,5 Mb
Release : 2018-10-19
Category : Computers
ISBN : 9781522575993

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Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics by Khosrow-Pour, D.B.A., Mehdi Pdf

From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.

Author : International Biometric Society. Indian Region. Conference
Publisher : Allied Publishers
Page : 324 pages
File Size : 52,7 Mb
Release : 2006
Category : Bioinformatics
ISBN : 817764968X

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Statistical Advances in Biosciences and Bioinformatics by International Biometric Society. Indian Region. Conference Pdf

Papers presented at the conference, held during 23-27 Nov. 2003, at Banaras Hindu University, Varanasi.

Author : N. P. O. Green,G. W. Stout,D. J. Taylor
Publisher : Cambridge University Press
Page : 992 pages
File Size : 41,5 Mb
Release : 1997-12-11
Category : Juvenile Nonfiction
ISBN : 0521639239

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Biological Science 1 and 2 (Cambridge Low-price Edition) by N. P. O. Green,G. W. Stout,D. J. Taylor Pdf

Cambridge Low Price Editions are reprints of internationally respected books from Cambridge University Press. The text has been completely revised and updated to provide comprehensive coverage of all the major biology syllabuses at Advanced level. It is also suitable for first-year students in higher education. It contains: clearly written up-to-date information appropriate to the new Advanced level biology syllabuses, new material covering microbiology and biotechnology, the applications of genetics, and human health and disease, a variety of questions throughout the text, carefully selected and clearly presented practical investigations in many of the units, appendices providing basic information and techniques relating to the relevant areas of the physical sciences and mathematics (e.g.biological chemistry and statistics)

Author : Wenjun Zhang
Publisher : World Scientific
Page : 312 pages
File Size : 45,6 Mb
Release : 2010-06-25
Category : Science
ISBN : 9789814466899

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Computational Ecology: Artificial Neural Networks And Their Applications by Wenjun Zhang Pdf

Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed.Computational Ecology consists of two parts: the first describes the methods and algorithms of ANNs, interpretability and mathematical generalization of neural networks, Matlab neural network toolkit, etc., while the second provides case studies of applications of ANNs in ecology, Matlab codes, and comparisons of ANNs with conventional methods. This publication will be a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of ecology, environmental sciences, and computational science.

Author : Nigel Gilbert,Petra Ahrweiler,Andreas Pyka
Publisher : Springer
Page : 248 pages
File Size : 43,7 Mb
Release : 2014-07-22
Category : Business & Economics
ISBN : 9783662435083

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Simulating Knowledge Dynamics in Innovation Networks by Nigel Gilbert,Petra Ahrweiler,Andreas Pyka Pdf

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

Author : Ayelet Shavit,Aaron M. Ellison
Publisher : Yale University Press
Page : 341 pages
File Size : 47,6 Mb
Release : 2017-01-01
Category : Biology
ISBN : 9780300209549

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Stepping in the Same River Twice by Ayelet Shavit,Aaron M. Ellison Pdf

List of Contributors -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W

Author : Domenico Cantone
Publisher : Springer Nature
Page : 280 pages
File Size : 43,9 Mb
Release : 2024-05-25
Category : Electronic
ISBN : 9783031552489

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From Computational Logic to Computational Biology by Domenico Cantone Pdf

Author : Michael C. Mix,Mix
Publisher : Good Year Books
Page : 128 pages
File Size : 41,5 Mb
Release : 1997-05
Category : Electronic
ISBN : 0673543749

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Biology by Michael C. Mix,Mix Pdf

Author : Peter Fleming,Paul Meek,Guy Ballard,Peter Banks,Andrew Claridge,Jim Sanderson,Don Swann
Publisher : CSIRO PUBLISHING
Page : 388 pages
File Size : 53,6 Mb
Release : 2014-11-20
Category : Nature
ISBN : 9781486300402

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Camera Trapping by Peter Fleming,Paul Meek,Guy Ballard,Peter Banks,Andrew Claridge,Jim Sanderson,Don Swann Pdf

Camera trapping in wildlife management and research is a growing global phenomenon. The technology is advancing very quickly, providing unique opportunities for collecting new biological knowledge. In order for fellow camera trap researchers and managers to share their knowledge and experience, the First International Camera Trapping Colloquium in Wildlife Management and Research was held in Sydney, Australia. Camera Trapping brings together papers from a selection of the presentations at the colloquium and provides a benchmark of the international developments and uses of camera traps for monitoring wildlife for research and management. Four major themes are presented: case studies demonstrating camera trapping for monitoring; the constraints and pitfalls of camera technologies; design standards and protocols for camera trapping surveys; and the identification, management and analyses of the myriad images that derive from camera trapping studies. The final chapter provides future directions for research using camera traps. Remarkable photographs are included, showing interesting, enlightening and entertaining images of animals 'doing their thing'.