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Statistical methods in bioinformatics : an introduction / Warren J. Ewens, Gregory R. Grant.

By: Ewens, W. J. (Warren John), 1937-Contributor(s): Grant, Gregory R. (Gregory Robert), 1965-Material type: TextTextSeries: Statistics for biology and healthPublication details: New York: Springer, c2005. Edition: Second editionDescription: xx, 597 p. : illustrations. ; 24 cmISBN: 9780387400822Other title: Statisical methods in bioinformaticsSubject(s): Bioinformatics . -- Statistical methods | Computational biology | StatisticsDDC classification: 572.8/0285 LOC classification: QH324.2 | .E97 2005NLM classification: 2005 D-346
Contents:
Probability theory (i): one random variable -- Probability theory (ii): many random variables -- Statistics (i): an introduction to statistical inference -- Stochastic processes (i): poisson processes and markov chains -- The analysis of one DNA sequence -- The Analysis of multiple DNA or protein sequences -- Stochastic processes (ii): random walks -- Statistics (ii): classical estimation theory -- Statistics (iii): classical hypothesis testing theory -- Blast -- Stochastic processes (iii): markov chains -- Hidden markov models -- Gene experession, microarrays, and multiple testing -- Evolutionary models -- Phylogenetic tree estimation.
Item type: Books
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The Iddi Basajjabalaba Memorial Library
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QH324.2 .E97 2005 (Browse shelf(Opens below)) 001 Available Material is available in hard copy 2017-12261
The Iddi Basajjabalaba Memorial Library
Postgraduate open shelves
QH324.2 .E97 2005 (Browse shelf(Opens below)) 002 Available Material is available in hard copy 2017-165642746199
The Iddi Basajjabalaba Memorial Library
Postgraduate Library
QH324.2 .E97 2005 (Browse shelf(Opens below)) 002 Available Material is available in hard copy 2017-165642746200
The Iddi Basajjabalaba Memorial Library
Open Shelves
QH324.2 .E97 2005 (Browse shelf(Opens below)) 004 Available Material is available in hard copy 2017-165642746974992

Includes bibliographical references (pages [561]-580) and index.

Probability theory (i): one random variable -- Probability theory (ii): many random variables -- Statistics (i): an introduction to statistical inference -- Stochastic processes (i): poisson processes and markov chains -- The analysis of one DNA sequence -- The Analysis of multiple DNA or protein sequences -- Stochastic processes (ii): random walks -- Statistics (ii): classical estimation theory -- Statistics (iii): classical hypothesis testing theory -- Blast -- Stochastic processes (iii): markov chains -- Hidden markov models -- Gene experession, microarrays, and multiple testing -- Evolutionary models -- Phylogenetic tree estimation.

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