Advanced data analysis in neuroscience, Durstewitz, Daniel

Автор: Zhang Aidong
Название: Advanced analysis of gene expression microarray data
ISBN: 9812566457 ISBN-13(EAN): 9789812566454
Издательство: World Scientific Publishing
Рейтинг:
Цена: 59870.00 T
Наличие на складе: Есть
Описание: Focuses on the development and application of the advanced data mining, machine learning, and visualization techniques for the identification of significant patterns in gene expression microarray data. This book is suitable for biomedical researchers for learning the methods for analyzing gene expression microarray data.

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
Рейтинг:
Цена: 55970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Автор: Bevington; Robinson
Название: Data Reduction And Error Analysis For The Physical Sciences
ISBN: 0071199268 ISBN-13(EAN): 9780071199261
Издательство: McGraw-Hill
Рейтинг:
Цена: 49180.00 T
Наличие на складе: Поставка под заказ.
Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
Рейтинг:
Цена: 41880.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Автор: Trappenberg Thomas P.
Название: Fundamentals of Computational Neuroscience
ISBN: 0199568413 ISBN-13(EAN): 9780199568413
Издательство: Oxford Academ
Рейтинг:
Цена: 63360.00 T
Наличие на складе: Поставка под заказ.
Описание: The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Автор: Janert Philipp K.
Название: Data Analysis with Open Source Tools
ISBN: 0596802358 ISBN-13(EAN): 9780596802356
Издательство: Wiley
Рейтинг:
Цена: 33780.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Real World Data Analysis shows you how you think about data and the results you want to achieve with it. Author Philipp Janert teaches you how to effectively approach data analysis problems, and how to extract all the available information from your data. This book shows you how to look at the results and know whether they`re meaningful.

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Автор: Agresti Alan
Название: Categorical Data Analysis
ISBN: 0470463635 ISBN-13(EAN): 9780470463635
Издательство: Wiley
Рейтинг:
Цена: 134060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
Рейтинг:
Цена: 70750.00 T
Наличие на складе: Поставка под заказ.
Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.

Автор: Fahrbach Susan E
Название: Developmental Neuroscience
ISBN: 0691150982 ISBN-13(EAN): 9780691150987
Издательство: Wiley
Рейтинг:
Цена: 88710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an introduction to the field of developmental neuroscience, a discipline concerned with the mechanisms by which complex nervous systems emerge during embryonic growth. Beginning with a presentation of methods for studying neural development, this book provides an overview of human development, followed by an introduction to animal models.

Автор: Siegel Allan MD, Sapru Hreday N.
Название: Essential Neuroscience
ISBN: 1451189680 ISBN-13(EAN): 9781451189681
Издательство: Lippincott Williams & Wilkins
Рейтинг:
Цена: 64070.00 T
Наличие на складе: Невозможна поставка.
Описание: Essential Neuroscience, 3e integrates must-have neuroscience information with clinical and physiological considerations to help readers master the fundamentals of neuroscience and prepare for board and course exams. Acclaimed for its concise, clinica

Автор: Grant
Название: Analysis of Post-Translational Modifications and Proteolysis in Neuroscience
ISBN: 1493934708 ISBN-13(EAN): 9781493934706
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume highlights proteomics studies of quantitative PTM changes in both peripheral and central nervous system proteomes utilizing the most recent advances in mass spectrometry. Chapters include practical information pertaining to the fundamentals of sample preparation, liquid chromatography, and tandem mass spectrometry instrumental analysis and will elucidate best practices in the interpretation of data using modern bioinformatics approaches. Written for the popular Neuromethods series, chapters include the kind of detail and key implementation advice that ensures successful results in the laboratory.Authoritative and practical, Analysis of Post-Translational Modifications and Proteolysis in Neuroscience aims to ensure successful results in the further study of this vital field.