Bayesian variable selection with graphical structure learning: Applications in integrative genomics

Significant advances in biotechnology have allowed for simultaneous measurement of molecular data across multiple genomic, epigenomic and transcriptomic levels from a single tumor/patient sample. This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets,...

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Detalles Bibliográficos
Autores principales: Kundu, Suprateek, Cheng, Yichen, Shin, Minsuk, Manyam, Ganiraju, Mallick, Bani K., Baladandayuthapani, Veerabhadran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066211/
https://www.ncbi.nlm.nih.gov/pubmed/30059495
http://dx.doi.org/10.1371/journal.pone.0195070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066211/
https://www.ncbi.nlm.nih.gov/pubmed/30059495
http://dx.doi.org/10.1371/journal.pone.0195070

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