Significance evaluation in factor graphs

Significance evaluation in factor graphs

Abstract Background Factor graphs provide a flexible and general framework for specifying probability distributions. They can capture a range of popular and recent models for analysis of both genomics data as well as data from other scientific fields. Owing to the ever larger data sets encountered i...

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Bibliographic Details
Main Authors: Tobias Madsen, Asger Hobolth, Jens Ledet Jensen, Jakob Skou Pedersen
Format: Article
Language:English
Published: BMC 2017-03-01
Series:BMC Bioinformatics
Subjects:
Significance evaluation
Factor graph
Saddlepoint approximation
Importance sampling
Online Access:http://link.springer.com/article/10.1186/s12859-017-1614-z

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http://link.springer.com/article/10.1186/s12859-017-1614-z

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