DNA microarrays and gene expression

from experiments to data analysis and modeling

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October 4, 2021 | History

DNA microarrays and gene expression

from experiments to data analysis and modeling

DNA microarrays are revolutionizing biology and medicine. They can provide a snapshot of the level of gene expression in a cell and are therefore a powerful tool with which to study biological phenomena at the molecular level. This inter-disciplinary introduction will be essential reading for researchers of all disciplines.

Publish Date
Language
English
Pages
213

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Edition Availability
Cover of: DNA Microarrays and Gene Expression
DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
2011, University of Cambridge ESOL Examinations
in English
Cover of: DNA Microarrays and Gene Expression
DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
2009, Cambridge University Press
in English
Cover of: DNA Microarrays and Gene Expression
DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
2004, Cambridge University Press
in English
Cover of: DNA Microarrays and Gene Expression
DNA Microarrays and Gene Expression: from Experiments to Data Analysis and Modeling
2002, Cambridge University Press
in English
Cover of: DNA Microarrays and Gene Expression
DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
2002, Cambridge University Press
in English
Cover of: DNA microarrays and gene expression
DNA microarrays and gene expression: from experiments to data analysis and modeling
2002, Cambridge University Press
electronic resource : in English

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Book Details


Edition Notes

Includes bibliographical references and index.

Description based on print version record.

Published in
Cambridge, U.K, New York

Classifications

Dewey Decimal Class
572.8/65
Library of Congress
QP624.5.D726 B353 2002eb, QP624.5.D726B353 200, QP624.5.D726 B353 2

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (xvi, 213 p.)
Number of pages
213

Edition Identifiers

Open Library
OL27032957M
ISBN 10
0511063210, 0511071671
ISBN 13
9780511063213, 9780511071676
OCLC/WorldCat
57417979

Work Identifiers

Work ID
OL19843856W

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Download catalog record: RDF / JSON
October 4, 2021 Edited by ImportBot import existing book
June 29, 2019 Created by MARC Bot import new book