Probabilistic Graphical Models For Genetics Genomics And Postgenomics

Download or read book Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics written by Christine Sinoquet and published by Oxford University Press, USA. This book was released on 2014 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 modelling and PGMs are expected to have a prominent role to play.