Microarray data analysis

Microarray data analysis: methods and protocols

by Agapito, Giuseppe

Type Book
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This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and…

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Title Statements

  • Full title :Microarray data analysis : methods and protocols / edited by Giuseppe Agapito.

Summary

This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.

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Edition Statements

  • Publication Date:copyright 2022

Publication Statements

  • Publisher(s):Humana Press
  • Place of Publication:New York, NY
  • Language:eng
  • Publication Date:copyright 2022

Notes

Des compléments en ligne (compagnons web) sont proposés par l'éditeur mais ne sont accessibles qu'aux usagers individuels sur code unique d'authentification : pas d'accès aux usagers des bibliothèques.

The Physical Object

  • Description:1 vol. (XI-317 p.) : : ill. ; : 26 cm.

Edition Identifiers

  • ISBN:9781071618387 (rel), 1071618385 (rel)
  • oclc:on1333627167

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