Constructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression

To understand the heterogeneity of prostate cancer (PCa) and identify novel underlying drivers, we constructed integrative molecular Bayesian networks (IMBNs) for PCa by integrating gene expression and copy number alteration data from published datasets. After demonstrating such IMBNs with superior...

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Detalles Bibliográficos
Autores principales: Gong, Yixuan, Wang, Li, Chippada-Venkata, Uma, Dai, Xudong, Oh, William K., Zhu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356583/
https://www.ncbi.nlm.nih.gov/pubmed/27626693
http://dx.doi.org/10.18632/oncotarget.11925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356583/
https://www.ncbi.nlm.nih.gov/pubmed/27626693
http://dx.doi.org/10.18632/oncotarget.11925

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