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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| 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 |