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Functional Genomics
Functional Genomics
225,26
250,29 €
  • We will send in 10–14 business days.
This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspect…
  • Publisher:
  • ISBN-10: 1588292916
  • ISBN-13: 9781588292919
  • Format: 15.5 x 23.1 x 2 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Functional Genomics (e-book) (used book) | bookbook.eu

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This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.

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  • Publisher:
  • ISBN-10: 1588292916
  • ISBN-13: 9781588292919
  • Format: 15.5 x 23.1 x 2 cm, kieti viršeliai
  • Language: English English

This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.

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