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Proximity Labeling

Proximity Labeling
Author: Murat Sunbul
Publisher: Springer Nature
Total Pages: 231
Release: 2019-05-23
Genre: Science
ISBN: 1493995375
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This book provides detailed protocols and untold tips and tricks regarding the most well-known examples of proximity labeling methods, in which the protein of interest is genetically fused to or labeled with an enzyme that can generate short-lived reactive species to non-specifically label molecules within a certain radius of up to twenty nanometers. Beginning with peroxidase-based proximity labeling methods, the volume continues with BioID, proximity labeling methods that describe the proximity ligation assay to detect RNA-DNA interactions, UV cross-linking to demonstrate RNA-protein interactions, and how chemical and enzymatic reactivities can be improved upon DNA-DNA and protein-protein interactions, as well as “proximity-induced self-labeling,” where the radius of labeling is zero. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Proximity Labeling: Methods and Protocols serves as an ideal guide for researchers exploring the crucial roles that proximity-driven reactions play in biological systems.

Proximity as Method

Proximity as Method
Author: Riccarda Flemmer
Publisher: Routledge Chapman & Hall
Total Pages: 0
Release: 2024-06-07
Genre: Education
ISBN: 9781032782294
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This book examines proximity as a benchmarked concept that can be deployed across a range of humanities disciplines to rethink the ways in which existences in the world are always already coexistences - and to parse the heuristic, ethical, epistemological, praxeological consequences of this recognition. The volume: - Brings together diverse theoretical approaches and utilizes a range of methodological instruments - conceptual, textual-analytic (whether in the realm of literary or religious studies, or theology or law), archival, digital, sociological or politological; - Includes empirical case-studies that allow calibrated and scaled exemplifications; - Launches forays onto unexplored conceptual terrain, or call into question hallowed truths of scholarly procedure. The volume will be essential reading for students and early researchers in the social sciences and the humanities.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

The Reviewer’s Guide to Quantitative Methods in the Social Sciences
Author: Gregory R. Hancock
Publisher: Routledge
Total Pages: 449
Release: 2010-04-26
Genre: Education
ISBN: 1135172994
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Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.

Models and Methods in Social Network Analysis

Models and Methods in Social Network Analysis
Author: Peter J. Carrington
Publisher: Cambridge University Press
Total Pages: 354
Release: 2005-02-07
Genre: Social Science
ISBN: 9781139443432
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Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Pattern Recognition and Information Processing

Pattern Recognition and Information Processing
Author: Sergey V. Ablameyko
Publisher: Springer Nature
Total Pages: 320
Release: 2019-11-22
Genre: Computers
ISBN: 303035430X
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This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.

Big Data

Big Data
Author: Balamurugan Balusamy
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2021-03-15
Genre: Mathematics
ISBN: 1119701872
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Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Information Visualization

Information Visualization
Author: Colin Ware
Publisher: Elsevier
Total Pages: 537
Release: 2013
Genre: Business & Economics
ISBN: 0123814642
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"This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"--

Wavelet Methods In Mathematical Analysis And Engineering

Wavelet Methods In Mathematical Analysis And Engineering
Author: Alain Damlamian
Publisher: World Scientific
Total Pages: 190
Release: 2010-09-21
Genre: Mathematics
ISBN: 9814464058
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This book gives a comprehensive overview of both the fundamentals of wavelet analysis and related tools, and of the most active recent developments towards applications. It offers a state-of-the-art in several active areas of research where wavelet ideas, or more generally multiresolution ideas have proved particularly effective.The main applications covered are in the numerical analysis of PDEs, and signal and image processing. Recently introduced techniques such as Empirical Mode Decomposition (EMD) and new trends in the recovery of missing data, such as compressed sensing, are also presented. Applications range for the reconstruction of noisy or blurred images, pattern and face recognition, to nonlinear approximation in strongly anisotropic contexts, and to the classification tools based on multifractal analysis.

The Complete Problem Solver

The Complete Problem Solver
Author: John R. Hayes
Publisher: Routledge
Total Pages: 384
Release: 2013-04-03
Genre: Education
ISBN: 1136465200
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This unique volume returns in its second edition, revised and updated with the latest advances in problem solving research. It is designed to provide readers with skills that will make them better problem solvers and to give up-to-date information about the psychology of problem solving. Professor Hayes provides students and professionals with practical, tested methods of defining, representing, and solving problems. Each discussion of the important aspects of human problem solving is supported by the most current research on the psychology problem solving. The Complete Problem Solver, Second Edition features: *Valuable learning strategies; *Decision making methods; *Discussions of the nature of creativity and invention, and *A new chapter on writing. The Complete Problem Solver utilizes numerous examples, diagrams, illustrations, and charts to help any reader become better at problem solving. See the order form for the answer to the problem below.