Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields

MOTIVATION: Incorporating gene interaction data into the identification of ‘hit’ genes in genomic experiments is a well-established approach leveraging the ‘guilt by association’ assumption to obtain a network based hit list of functionally related genes. We aim to develop a method to allow for mult...

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Detalles Bibliográficos
Autores principales: Robinson, Sean, Nevalainen, Jaakko, Pinna, Guillaume, Campalans, Anna, Radicella, J Pablo, Guyon, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870666/
https://www.ncbi.nlm.nih.gov/pubmed/28881978
http://dx.doi.org/10.1093/bioinformatics/btx244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870666/
https://www.ncbi.nlm.nih.gov/pubmed/28881978
http://dx.doi.org/10.1093/bioinformatics/btx244

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