Statistical Analysis of Microbiome Data (Hardcover, 1st ed. 2021)

Microbiome research has focused on microorganisms that live within the human body and their effects on health. During the last few years, the quantification of microbiome composition in different environments has been facilitated by the advent of high throughput sequencing technologies. The statistical challenges include computational difficulties due to the high volume of data; normalization and quantification of metabolic abundances, relative taxa and bacterial genes; high-dimensionality; multivariate analysis; the inherently compositional nature of the data; and the proper utilization of complementary phylogenetic information. This has resulted in an explosion of statistical approaches aimed at tackling the unique opportunities and challenges presented by microbiome data. This book provides a comprehensive overview of the state of the art in statistical and informatics technologies for microbiome research. In addition to reviewing demonstrably successful cutting-edge methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging approach, the book benefits not only trained statisticians in academia and industry involved in microbiome research, but also other scientists working in microbiomics and in related fields.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Frontiers in Probability and the Statistical Sciences
Release date:	October 2021
First published:	2021
Editors:	Somnath Datta • Subharup Guha
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	346
Edition:	1st ed. 2021
ISBN-13:	978-3-03-073350-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Microbiology (non-medical) > General Books > Computing & IT > Applications of computing > Databases > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	3-03-073350-5
Barcode:	9783030733506

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