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Bioinformatic and Statistical Analysis of Microbiome Data: From Raw Sequences to Advanced Modeling with QIIME 2 and R
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Statistical Analysis of Microbiome Data (Frontiers in Probability and the Statistical Sciences)
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Statistical Analysis of Microbiome Data
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 303073353X ISBN 13: 9783030733537
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2021 ed.
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Statistical Analysis of Microbiome Data (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030733505 ISBN 13: 9783030733506
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Hardcover. Condition: Brand New. 1st edition. 346 pages. 9.75x6.50x1.00 inches. In Stock.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Statistical Analysis of Microbiome Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 117.71
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Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics)
Book 14 of 19: ICSA Book Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Statistical Analysis of Microbiome Data With R
Book 14 of 19: ICSA Book Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Analysis of Microbiome Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Statistical Analysis of Microbiome Data
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 303073353X ISBN 13: 9783030733537
Paperback. Condition: New. 2021 ed.
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Taschenbuch. Condition: Neu. Statistical Analysis of Microbiome Data | Somnath Datta (u. a.) | Taschenbuch | Frontiers in Probability and the Statistical Sciences | xiv | Englisch | 2022 | Springer | EAN 9783030733537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Statistical Analysis of Microbiome Data With R
Book 14 of 19: ICSA Book Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 141.22
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Statistical Analysis of Microbiome Data
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 303073353X ISBN 13: 9783030733537
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
-
Statistical Analysis of Microbiome Data
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030733505 ISBN 13: 9783030733506
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
