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Markov chain Monte Carlo for active module identification problem

BACKGROUND: Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a connected subnetwork of a global interaction network that best encompasses sig...

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Detalles Bibliográficos
Autores principales:	Alexeev, Nikita, Isomurodov, Javlon, Sukhov, Vladimir, Korotkevich, Gennady, Sergushichev, Alexey
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672893/ https://www.ncbi.nlm.nih.gov/pubmed/33203350 http://dx.doi.org/10.1186/s12859-020-03572-9

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