Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

ISBN: 9780198709022 出版年：2014 页码：483 Oxford University Press

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.