Statistical Methods in Bioinformatics An Introduction /

• Κύριοι συγγραφείς: Ewens, Warren J. (Συγγραφέας), Grant, Gregory (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2005.
• Έκδοση: Second Edition.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Life sciences.; Epidemiology.; Bioinformatics.; Biochemistry.; Biomathematics.; Statistics.; Life Sciences.; Biochemistry, general.; Computational Biology/Bioinformatics.; Mathematical and Computational Biology.; Statistics for Life Sciences, Medicine, Health Sciences.

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following close...

Πίνακας περιεχομένων:

• 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 Expression, Microarrays, and Multiple Testing
• Evolutionary Models
• Phylogenetic Tree Estimation.