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A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data
Motivation: Identification of disease-related genes using high-throughput microarray data is more difficult for complex diseases as compared with monogenic ones. We hypothesized that an endophenotype derived from transcriptional data is associated with a set of genes corresponding to a pathway clust...
| Autores principales: | , , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666815/ https://www.ncbi.nlm.nih.gov/pubmed/19237446 http://dx.doi.org/10.1093/bioinformatics/btp106 |