عنوان

Multivariate data integration using R

(Number (ISBN

9780367460945

(Number (ISBN

9781032128078

Number

E3903

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Multivariate data integration using R

General Material Designation

[Electronic book]

Other Title Information

: methods and applications with the mixOmics package

First Statement of Responsibility

/ Kim-Anh Le Cao, Zoe Welham.

Place of Publication, Distribution, etc.

Boca Raton, FL.

Name of Publisher, Distributor, etc.

: CRC Press, Taylor & Francis Group

Date of Publication, Distribution, etc.

, 2022.

Specific Material Designation and Extent of Item

xxi, 308 p.

Other Physical Details

; ill. (some color).

Series Title

(Computational biology)

Text of Note

Includes bibliographical references and index.

Text of Note

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

Entry Element

Multivariate analysis

Entry Element

Biometry

Entry Element

R (Computer program language )‎

a05

a04

a06

Class number

Book number

Le Cao, Kim-Anh, author

Welham, Zoe, author.

Country

Iran

Agency

University of Tehran. Library of College of Science

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004189_0001.pdf

e

BL

278840

1

a

Y