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

By:

Ewens, Warren

Contributor(s):

Grant, Gregory R

Material type:

TextSeries: Statistics for biology and healthPublication details: New York: Springer, 2005.Edition: 2nd edDescription: xx, 597 p. : ill. ; 24 cmISBN:

0387400826

Subject(s):

DDC classification:

572.80285 EWE/S

Contents:

Probability theory (i): one random value -- 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 expression, microarrays and multiple testing -- Evolutionary models -- Phylogenetic tree estimation -- Appendix A Basic notions in biology -- Appendix B Mathematical Formulae and results -- Appendix C Computational aspects of the binomial and generalized geometric distribution functions -- Appendix D BLAST: sums of normalized scores.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	General Books	Central Library, Sikkim University General Book Section				572.80285 EWE/S (Browse shelf(Opens below))					Available			P04948

Total holds: 0

Probability theory (i): one random value --
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 expression, microarrays and multiple testing --
Evolutionary models --
Phylogenetic tree estimation --
Appendix A Basic notions in biology --
Appendix B Mathematical Formulae and results --
Appendix C Computational aspects of the binomial and generalized geometric distribution functions --
Appendix D BLAST: sums of normalized scores.

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