Cover Image

Probabilistic graphical models for genetics, genomics, and postgenomics /

Show other versions (1)

At the crossroads between statistics and machine learning, probabilistic graphical models (PGMs) provide a powerful formal framework to model complex data. An expanding volume of biological data of various types, the so-called 'omics', is in need of accurate and efficient methods for model...

Full description

Bibliographic Details
Other Authors: Sinoquet, Christine (Editor), Mourad, Raphaël (Editor)
Format: eBook
Language:English
Published: Oxford : Oxford University Press, 2014.
Subjects:
Genetics > Mathematical models.
Genomics > Statistical methods.
Genetics > Statistical methods.
Graphical modeling (Statistics)
Computational Biology > methods
Models, Genetic
Models, Statistical
Genomics > methods
Bayes Theorem
Computer Simulation
Génomique > Méthodes statistiques.
Génétique > Méthodes statistiques.
Modèles graphiques (Statistique)
Théorème de Bayes.
Simulation par ordinateur.
simulation.
SCIENCE > Life Sciences > Evolution.
Genetics > Mathematical models
Genetics > Statistical methods
Genomics > Statistical methods
Electronic books.
Online Access:Connect to the full text of this electronic book

Internet

Connect to the full text of this electronic book

Available Online

Holdings details from Available Online
Call Number: QH438.4.M3 P76 2014
 
Call Number Status Get It
QH438.4.M3 P76 2014 Available