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Multivariate Data Integration Using R

- Methods and Applications with the mixOmics Package
Af: Kim-Anh Le Cao, Zoe Marie Welham Engelsk Paperback

Multivariate Data Integration Using R

- Methods and Applications with the mixOmics Package
Af: Kim-Anh Le Cao, Zoe Marie Welham Engelsk Paperback
Tjek vores konkurrenters priser

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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Tjek vores konkurrenters priser
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Fragt: 39 kr
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Tjek vores konkurrenters priser

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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 298
ISBN-13: 9781032128078
Indbinding: Paperback
Udgave:
ISBN-10: 1032128070
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 29 jan 2024
Længde: 19mm
Bredde: 253mm
Højde: 177mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 29 jan 2024
Forfatter(e): Kim-Anh Le Cao, Zoe Marie Welham
Forfatter(e) Kim-Anh Le Cao, Zoe Marie Welham

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781032128078

Sprog Engelsk

Indbinding Paperback

Sider 298

Udgave

Længde 19mm

Bredde 253mm

Højde 177mm

Udg. Dato 29 jan 2024

Oplagsdato 29 jan 2024

Forlag Taylor & Francis Ltd