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Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes
BACKGROUND: Complex diseases are often difficult to diagnose, treat and study due to the multi-factorial nature of the underlying etiology. Large data sets are now widely available that can be used to define novel, mechanistically distinct disease subtypes (endotypes) in a completely data-driven man...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228284/ https://www.ncbi.nlm.nih.gov/pubmed/24188919 http://dx.doi.org/10.1186/1752-0509-7-119 |