Network Bioscience 2nd Edition
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Network Bioscience 2nd Edition
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Author : Marco Pellegrini
language : en
Publisher: Frontiers Media SA
Release Date : 2020-03-27
Network Bioscience 2nd Edition written by Marco Pellegrini and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-27 with categories.
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.
Network Bioscience 2nd Edition
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Author : Marco Pellegrini
language : en
Publisher:
Release Date : 2020
Network Bioscience 2nd Edition written by Marco Pellegrini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
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.
Principles Of Crop Improvement
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Author : N. W. Simmonds
language : en
Publisher: Longman Sc & Tech
Release Date : 1979
Principles Of Crop Improvement written by N. W. Simmonds and has been published by Longman Sc & Tech this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Technology & Engineering categories.
Bayesian Networks
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Author : Marco Scutari
language : en
Publisher: CRC Press
Release Date : 2021-07-28
Bayesian Networks written by Marco Scutari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-28 with Computers categories.
Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks, networks with heterogeneous variables, and model validation. The first three chapters explain the whole process of Bayesian network modelling, from structure learning to parameter learning to inference. These chapters cover discrete, Gaussian, and conditional Gaussian Bayesian networks. The following two chapters delve into dynamic networks (to model temporal data) and into networks including arbitrary random variables (using Stan). The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R packages and other software implementing Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein-signalling network published in Science and a probabilistic graphical model for predicting the composition of different body parts. Covering theoretical and practical aspects of Bayesian networks, this book provides you with an introductory overview of the field. It gives you a clear, practical understanding of the key points behind this modelling approach and, at the same time, it makes you familiar with the most relevant packages used to implement real-world analyses in R. The examples covered in the book span several application fields, data-driven models and expert systems, probabilistic and causal perspectives, thus giving you a starting point to work in a variety of scenarios. Online supplementary materials include the data sets and the code used in the book, which will all be made available from https://www.bnlearn.com/book-crc-2ed/
Handbook Of Research On Computational Methodologies In Gene Regulatory Networks
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Author : Das, Sanjoy
language : en
Publisher: IGI Global
Release Date : 2009-10-31
Handbook Of Research On Computational Methodologies In Gene Regulatory Networks written by Das, Sanjoy and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-31 with Computers categories.
"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.
Quantitative Analysis Of Ecological Networks
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Author : Mark R. T. Dale
language : en
Publisher: Cambridge University Press
Release Date : 2021-04-15
Quantitative Analysis Of Ecological Networks written by Mark R. T. Dale and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Language Arts & Disciplines categories.
Displays the broad range of quantitative approaches to analysing ecological networks, providing clear examples and guidance for researchers.
Statistical Learning Using Neural Networks
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Author : Basilio de Braganca Pereira
language : en
Publisher: CRC Press
Release Date : 2020-09-01
Statistical Learning Using Neural Networks written by Basilio de Braganca Pereira and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Business & Economics categories.
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.
The Oxford Handbook Of Archaeological Network Research
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Author : Tom Brughmans
language : en
Publisher: Oxford University Press
Release Date : 2024
The Oxford Handbook Of Archaeological Network Research written by Tom Brughmans and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Social Science categories.
This Handbook is the first authoritative reference work for archaeological network research, featuring current topical trends and covering the archaeological application of network methods and theories.
Camera Trapping
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Author : Peter Fleming
language : en
Publisher: CSIRO PUBLISHING
Release Date : 2014-11-20
Camera Trapping written by Peter Fleming and has been published by CSIRO PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-20 with Science categories.
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'.
Statistical Advances In Biosciences And Bioinformatics
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Author : International Biometric Society. Indian Region. Conference
language : en
Publisher: Allied Publishers
Release Date : 2006
Statistical Advances In Biosciences And Bioinformatics written by International Biometric Society. Indian Region. Conference and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Bioinformatics categories.
Papers presented at the conference, held during 23-27 Nov. 2003, at Banaras Hindu University, Varanasi.