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Statistical theory and methods for e...

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Gu, Xun.

Statistical theory and methods for evolutionary genomics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical theory and methods for evolutionary genomics/ by Xun Gu.
Author:	Gu, Xun.
Published:	Oxford :Oxford University Press, : 2011.,
Description:	1 online resource (xi, 259 p.) :ill. :
Subject:	Genomics - Statistical methods. -
Online resource:	http://dx.doi.org/10.1093/acprof:oso/9780199213269.001.0001
ISBN:	9780191594762 (ebook) :

Statistical theory and methods for evolutionary genomics
Gu, Xun.

Statistical theory and methods for evolutionary genomics[electronic resource] /by Xun Gu. - Oxford :Oxford University Press,2011. - 1 online resource (xi, 259 p.) :ill.

Includes bibliographical references and index.

Summarising the statistical framework of evolutionary genomics this text illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.

ISBN: 9780191594762 (ebook) :No priceSubjects--Topical Terms:

868285
Genomics
--Statistical methods.

LC Class. No.: QH438.4.S73

Dewey Class. No.: 572.8'38

Statistical theory and methods for evolutionary genomics
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020 $a 9780191594762 (ebook) : $c No price
020 $a 0191594768 (ebook) : $c No price
035 $a EDZ0000076376
040 $a StDuBDS $c StDuBDS
050 4 $a QH438.4.S73
082 0 4 $a 572.8'38 $2 22
100 1 $a Gu, Xun. $3 868284
245 1 0 $a Statistical theory and methods for evolutionary genomics $h [electronic resource] / $c by Xun Gu.
260 $a Oxford : $b Oxford University Press, $c 2011.
300 $a 1 online resource (xi, 259 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 8 $a Summarising the statistical framework of evolutionary genomics this text illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.
588 $a Description based on print version record.
650 0 $a Genomics $x Statistical methods. $3 868285
776 0 8 $i Print version $z 9780199213269
856 4 0 $3 Oxford scholarship online $u http://dx.doi.org/10.1093/acprof:oso/9780199213269.001.0001

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