Langue: anglais
Edité par Cham, Springer International Publishing., 2021
ISBN 10 : 3030733505 ISBN 13 : 9783030733506
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Ajouter au panier1st ed. 2021. XIV, 346 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Frontiers in Probability and the Statistical Sciences. Sprache: Englisch.
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Langue: anglais
Edité par Springer Nature Switzerland AG, CH, 2022
ISBN 10 : 303073353X ISBN 13 : 9783030733537
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Ajouter au panierPaperback. Etat : New. 2021 ed.
Langue: anglais
Edité par Springer Nature Switzerland AG, Cham, 2021
ISBN 10 : 3030733505 ISBN 13 : 9783030733506
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Ajouter au panierHardcover. Etat : 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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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 346 pages. 9.75x6.50x1.00 inches. In Stock.
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Langue: anglais
Edité par Springer Nature Switzerland AG, CH, 2022
ISBN 10 : 303073353X ISBN 13 : 9783030733537
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Ajouter au panierPaperback. Etat : New. 2021 ed.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Langue: anglais
Edité par Springer International Publishing, 2022
ISBN 10 : 303073353X ISBN 13 : 9783030733537
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Ajouter au panierTaschenbuch. Etat : 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.