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...

Descripción completa

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

Internet

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

Ejemplares similares