Learning subgroup-specific regulatory interactions and regulator independence with PARADIGM

High-dimensional ‘-omics’ profiling provides a detailed molecular view of individual cancers; however, understanding the mechanisms by which tumors evade cellular defenses requires deep knowledge of the underlying cellular pathways within each cancer sample. We extended the PARADIGM algorithm (Vaske...

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Detalles Bibliográficos
Autores principales: Sedgewick, Andrew J., Benz, Stephen C., Rabizadeh, Shahrooz, Soon-Shiong, Patrick, Vaske, Charles J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Ismb/Eccb 2013 Proceedings Papers Committee July 21 to July 23, 2013, Berlin, Germany
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694636/
https://www.ncbi.nlm.nih.gov/pubmed/23813010
http://dx.doi.org/10.1093/bioinformatics/btt229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694636/
https://www.ncbi.nlm.nih.gov/pubmed/23813010
http://dx.doi.org/10.1093/bioinformatics/btt229

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