Multivariate Data Integration Using R

Author : Kim-Anh Lê Cao,Zoe Marie Welham
Publisher : CRC Press
Page : 316 pages
File Size : 40,8 Mb
Release : 2021-11-08
Category : Computers
ISBN : 9781000472196

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Multivariate Data Integration Using R by Kim-Anh Lê Cao,Zoe Marie Welham Pdf

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for high-throughput biological data, with a specific focus on data integration. It starts with some biological background, key concepts underlying the multivariate methods, and then covers an array of methods implemented using the mixOmics package in R. Features: Provides a broad and accessible overview of methods for multi-omics data integration Covers a wide range of multivariate methods, each designed to answer specific biological questions Includes comprehensive visualisation techniques to aid in data interpretation Includes many worked examples and case studies using real data Includes reproducible R code for each multivariate method, using the mixOmics package The book is suitable for researchers from a wide range of scientific disciplines wishing to apply these methods to obtain new and deeper insights into biological mechanisms and biomedical problems. The suite of tools introduced in this book will enable students and scientists to work at the interface between, and provide critical collaborative expertise to, biologists, bioinformaticians, statisticians and clinicians.

Author : Kim-Anh Lê Cao,Zoe Marie Welham
Publisher : Unknown
Page : 128 pages
File Size : 48,5 Mb
Release : 2022
Category : Electronic
ISBN : 1032128070

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Multivariate Data Integration Using R by Kim-Anh Lê Cao,Zoe Marie Welham Pdf

Author : Randall E. Schumacker
Publisher : SAGE Publications
Page : 293 pages
File Size : 49,7 Mb
Release : 2015-07-06
Category : Social Science
ISBN : 9781483377988

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Using R With Multivariate Statistics by Randall E. Schumacker Pdf

Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

Author : Dr. A.K. Sheik Manzoor,Dr. Ganesh Kumar R
Publisher : Sultan Chand & Sons
Page : 11 pages
File Size : 43,5 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9789391820756

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A Handbook of Multivariate Data Analysis Using R by Dr. A.K. Sheik Manzoor,Dr. Ganesh Kumar R Pdf

The book includes a broad range of analytical methods starting from multiple regression, discriminant analysis, logistic regression, and MANOVA, and progressing to various advanced multivariate techniques. It provides clear and easily comprehensible explanations for all twelve of these techniques, including the complex domain of structural equation modeling.

Author : Brian S. Everitt
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 53,5 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9781846281242

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An R and S-Plus® Companion to Multivariate Analysis by Brian S. Everitt Pdf

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.

Author : Brian Everitt,Torsten Hothorn
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 50,9 Mb
Release : 2011-04-23
Category : Mathematics
ISBN : 9781441996503

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An Introduction to Applied Multivariate Analysis with R by Brian Everitt,Torsten Hothorn Pdf

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

Author : Guangchuang Yu
Publisher : CRC Press
Page : 298 pages
File Size : 50,8 Mb
Release : 2022-08-26
Category : Medical
ISBN : 9781000613018

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Data Integration, Manipulation and Visualization of Phylogenetic Trees by Guangchuang Yu Pdf

Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Using the most comprehensive packages for phylogenetic data integration and visualization, contains numerous examples that can be used for teaching and learning. Ideal for undergraduate readers and researchers with a working knowledge of R and ggplot2. Key Features: Manipulating phylogenetic tree with associated data using tidy verbs Integrating phylogenetic data from diverse sources Visualizing phylogenetic data using grammar of graphics

Author : William W. Cooley,Paul R. Lohnes
Publisher : Unknown
Page : 392 pages
File Size : 49,9 Mb
Release : 1985
Category : Mathematics
ISBN : UOM:49015001144485

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Multivariate Data Analysis by William W. Cooley,Paul R. Lohnes Pdf

Author : NICK. FIELLER
Publisher : Unknown
Page : 0 pages
File Size : 50,7 Mb
Release : 2019
Category : Electronic
ISBN : 1138731714

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MULTIVARIATE DATA ANALYSIS by NICK. FIELLER Pdf

Author : Daniel Zelterman
Publisher : Springer Nature
Page : 469 pages
File Size : 40,6 Mb
Release : 2023-01-20
Category : Medical
ISBN : 9783031130052

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Applied Multivariate Statistics with R by Daniel Zelterman Pdf

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.

Author : R. Shanthi
Publisher : MJP Publisher
Page : 448 pages
File Size : 43,7 Mb
Release : 2019-06-10
Category : Mathematics
ISBN : 8210379456XXX

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MULTIVARIATE DATA ANALYSIS by R. Shanthi Pdf

Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean Cluster Analysis Hierarchical Cluster Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Example - Multidimensional Scaling (ALSCAL) Neural Network Decision Trees Path Analysis Structural Equation Modeling Canonical Correlation

Author : Allison Black,Gytis Dudas
Publisher : CRC Press
Page : 165 pages
File Size : 49,5 Mb
Release : 2024-03-18
Category : Computers
ISBN : 9781003853824

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The Applied Genomic Epidemiology Handbook by Allison Black,Gytis Dudas Pdf

The Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations. During the SARS-CoV-2 pandemic, viral whole genome sequences were generated, analyzed, and shared at an unprecedented scale. This wealth of data posed both tremendous opportunities and challenges; the data could be used to support varied parts of the public health response but could be hard for much of the public health workforce to analyze and interpret, given a historical lack of experience working with pathogen genomic data. This book addresses that gap. Structured into eight wide-ranging chapters, this book describes how the overlapping timescales of pathogen evolution and infection transmission enable exploration of epidemiologic dynamics from pathogen sequence data. Different approaches to sampling and genomic data inclusion are presented for different types of epidemiologic investigations. To support epidemiologists in diving into pathogen genomic data analysis, this book also introduces the analytic tools and approaches that are readily used in public health departments and presents case studies to show step-by-step how genomic data are used and evaluated in disease investigations. Despite the breadth of scientific literature that uses pathogen genomic data to investigate disease dynamics, there remains little practical guidance to help applied epidemiologists build their ability to explore epidemiologic questions with pathogen genomic data. This handbook was written to serve as that guide. Including case studies, common methods, and software tools, this book will be of great interest to public health microbiologists or lab directors, bioinformaticians, epidemiologists, health officers, academics, as well as students working in a public health context.

Author : Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith
Publisher : CRC Press
Page : 292 pages
File Size : 46,5 Mb
Release : 2024-07-15
Category : Computers
ISBN : 9781040085622

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Computational Intelligence for Oncology and Neurological Disorders by Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith Pdf

With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

Author : Uri Alon
Publisher : CRC Press
Page : 271 pages
File Size : 44,8 Mb
Release : 2023-12-15
Category : Computers
ISBN : 9781000960679

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Systems Medicine by Uri Alon Pdf

Why do we get certain diseases, whereas other diseases do not exist? In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine. Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them. By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases. Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been rigorously tested in the classroom

Author : Liang Cheng,Lei Deng,Chuan-Xing Li,Yan Zhang,Mingxiang Teng
Publisher : Frontiers Media SA
Page : 793 pages
File Size : 48,9 Mb
Release : 2022-11-29
Category : Science
ISBN : 9782832507384

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Omics Data Integration towards Mining of Phenotype Specific Biomarkers in Cancer - Volume II by Liang Cheng,Lei Deng,Chuan-Xing Li,Yan Zhang,Mingxiang Teng Pdf