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Multivariate Data Integration Using R
- Methods and Applications with the mixOmics Package
Engelsk
Bogcover for Multivariate Data Integration Using R af Kim-Anh Le Cao, Zoe Marie Welham, 9781032128078
Specifikationer
Sprog:
Engelsk
Sider:
298
ISBN-13:
9781032128078
Indbinding:
Paperback
ISBN-10:
1032128070
Udg. Dato:
29 jan 2024
Størrelse i cm:
17,7 x 25,3 x 1,9
Oplagsdato:
29 jan 2024

Multivariate Data Integration Using R

- Methods and Applications with the mixOmics Package
Engelsk
Paperback 2024
Format:

Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
298
ISBN-13:
9781032128078
Indbinding:
Paperback
ISBN-10:
1032128070
Udg. Dato:
29 jan 2024
Størrelse i cm:
17,7 x 25,3 x 1,9
Oplagsdato:
29 jan 2024
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