Articles liés à Statistical Analysis of Microbiome Data
Synopsis
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.
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À propos de l?auteur
Somnath Datta is Professor of Biostatistics and a preeminence hire in Genomic Medicine at the University of Florida. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics.
Subharup Guha is Associate Professor of Biostatistics at the University of Florida. His current research areas of interest are Bayesian nonparametric methods, clustering, classification, Markov chain Monte Carlo algorithms, causal inferences, and high-dimensional data analysis. The applications have included cancer genomics, image processing, microbiomics, and connectomics.
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Statistical Analysis of Microbiome Data.
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Cham, Springer International Publishing., 2021
ISBN 10 : 3030733505
ISBN 13 : 9783030733506
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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1st 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. N° de réf. du vendeur 12980DB
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Statistical Analysis of Microbiome Data
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030733505
ISBN 13 : 9783030733506
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive overview of cutting-edge statistical approaches for microbiome researchExplores the intersection of big data and next generation sequencing technologiesDiscusses innovative m. N° de réf. du vendeur 458553802
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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
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Statistical Analysis of Microbiome Data
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030733505
ISBN 13 : 9783030733506
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. 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. N° de réf. du vendeur 9783030733506
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Statistical Analysis of Microbiome Data
Edité par
Springer International Publishing Okt 2021, 2021
ISBN 10 : 3030733505
ISBN 13 : 9783030733506
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 364 pp. Englisch. N° de réf. du vendeur 9783030733506
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Statistical Analysis of Microbiome Data
impression à la demandeVendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 1st edition. 346 pages. 9.75x6.50x1.00 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3030733505
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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
ISBN 10 : 3030733505
ISBN 13 : 9783030733506
Neuf
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch. N° de réf. du vendeur 9783030733506
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Statistical Analysis of Microbiome Data
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