Significance evaluation in factor graphs

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 in genomi...

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Detalles Bibliográficos
Autores principales: Madsen, Tobias, Hobolth, Asger, Jensen, Jens Ledet, Pedersen, Jakob Skou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374669/
https://www.ncbi.nlm.nih.gov/pubmed/28359297
http://dx.doi.org/10.1186/s12859-017-1614-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374669/
https://www.ncbi.nlm.nih.gov/pubmed/28359297
http://dx.doi.org/10.1186/s12859-017-1614-z

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