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is organized. It presents the brain as a distributed processing system, shows how to record brain activities, and how to combine neurosciences and;
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is a must-read book for learning practical statistics and data analysis...Computing Reviews.com A proven go-to guide for data analysis, Making;
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A practical, skill-based introduction to data analysis and data literacy. Accompanied by a student study website.;
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in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical;
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Containing numerous step-by-step examples throughout, this new edition introduces readers to how to use IBM SPSS to plan a study, prepare;
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that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation;
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field of brain connectivity inference is growing at a fast pace with new data/signal processing proposals emerging so often as to make it;
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. This work is intended to be a practical guide for understanding and using contemporary electrophysiological manipulations and assays in brain;
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A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book;
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is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students;
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>Provides a practical overview of core analysis, from coring at the well site to laboratory data acquisition and interpretation
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epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;
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epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through;
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Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has;
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Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains;
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analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process, including: - Designing and managing;
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methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear;
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theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive;
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accessible introduction to application-oriented multivariate methods of data analysis and procedures that are highly beneficial to solving a variety;
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case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform;
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This detailed volume compiles the best methodologies and experimental techniques to profile and extract maximal data from brain tumor stem;
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A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural;
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Practical Time Series Analysis for Data Science is an accessible guide that doesn't require a background in calculus to be engaging;
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A practical guide for the analysis of longitudinal behavioural data. It addresses a variety of substantive research questions with;
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Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis: A Practical Guide to Comparative Case Studies and;
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language data, both written and (orthographically) transcribed * Introduces a number of easy-to-use, yet powerful, free analysis resources;
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language data, both written and (orthographically) transcribed * Introduces a number of easy-to-use, yet powerful, free analysis resources;
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