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...

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Detalles Bibliográficos
Autores principales: Lynn, Ke-Shiuan, Li, Li-Lan, Lin, Yen-Ju, Wang, Chiuen-Huei, Sheng, Shu-Hui, Lin, Ju-Hwa, Liao, Wayne, Hsu, Wen-Lian, Pan, Wen-Harn
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Original Papers
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

Internet

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

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