Statistical Methods in Bioinformatics An Introduction /

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ewens, Warren J. (Autor), Grant, Gregory R. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:2nd ed. 2005.
Colección:Statistics for Biology and Health,
Temas:
Biochemistry.
Epidemiology.
Bioinformatics.
Biomathematics.
Biometry.
Computational and Systems Biology.
Mathematical and Computational Biology.
Biostatistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares