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

By: Ewens, Warren Contributor(s): Grant, Gregory R Material type: Text

TextSeries: Statistics for biology and healthPublication details: New York: Springer, 2005Edition: 2nd edDescription: xx, 597 p. : ill. ; 24 cmISBN: 0387400826Subject(s): Bioinformatics -- Statistical methods | Computational Biology | Bioinformatics | Statistical methodsDDC classification: 572.80285

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
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
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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