Statistical methods in bioinformatics : an introduction / Warren Ewens, Gregory Grant.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9781441923028 (pbk.) :
- 9780387266480 (ebook) :
- 9781441923028 (Paper)
- 572.80285 EWE
- QH324.2 .E97 2005
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Long Loan | TUS: Midlands, Main Library Athlone General Lending | 572.80285 EWE (Browse shelf(Opens below)) | 1 | Available | 217009 |
Includes bibliographical references and index.
Preface. 1.Probability theory (i): One random variable -- 2.Probability theory (ii): Many random variables -- 3.Statistics (i):An introduction to statistical inference -- 4.Stochastic processess (i): Poisson processes and Markov chains -- 5.The analysis of one DNA sequence -- 6.The analysis of multiple DNA or protein sequences -- 7.Stochastic processess (ii): Random walks -- 8.Statistics (ii): Classical estimation theory -- 9.Statistics (iii): Classical hypothesis testing theory -- 10.Blast -- 11.Stochastic processes (iii): Markov chains -- 12.Hidden Markov models -- 13.Gene expression, microarrays, and mutiple testing -- 14.Evolutionary models -- 15.Phylogenetic tree estimation -- Appendix A.Basic notions in biology -- Appendix B.Mathematical formulae and results.
Advances in computers & biotechnology have had a profound impact on biomedical research, & as a result complex data sets can now be generated to address extremely complex biological questions. This text includes methods important in the analysis of human genome data.