Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies

BACKGROUND: Bladder cancer is common disease with a complex etiology that is likely due to many different genetic and environmental factors. The goal of this study was to embrace this complexity using a bioinformatics analysis pipeline designed to use machine learning to measure synergistic interact...

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Detalles Bibliográficos
Autores principales: Cheng, Samantha, Andrew, Angeline S., Andrews, Peter C., Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154053/
https://www.ncbi.nlm.nih.gov/pubmed/27999618
http://dx.doi.org/10.1186/s13040-016-0119-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154053/
https://www.ncbi.nlm.nih.gov/pubmed/27999618
http://dx.doi.org/10.1186/s13040-016-0119-z

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