Statistical Methods Analysis Genomic (18 results)

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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  • Language: English

    Published by Mdpi AG 8/14/2020, 2020

    3039361406 / 9783039361403

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    Hardback or Cased Book. Condition: New. Statistical Methods for the Analysis of Genomic Data. Book.

  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

    • Hardcover

    Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    Condition: New. In English.

  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

    • Hardcover

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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  • Language: English

    Published by MDPI AG, 2020

    3039361406 / 9783039361403

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    Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.

  • Language: English

    Published by MDPI AG, 2020

    3039361406 / 9783039361403

    • Hardcover

    Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer

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    Hardcover. Condition: gut. 2020. Statistical Methods for the Analysis of Genomic Data In deutscher Sprache. pages.

  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

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  • Language: English

    Published by Mdpi AG, 2020

    3039361406 / 9783039361403

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by MDPI AG, 2020

    3039361406 / 9783039361403

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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brou.

  • Language: English

    Published by MDPI AG, 2020

    3039361406 / 9783039361403

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.