A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data

@article{Lynn2009ANN,
  title={A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data},
  author={Ke-Shiuan Lynn and Li-Lan Li and Yen-Ju Lin and Chiuen-Huei Wang and Shu-Hui Sheng and Ju-Hwa Lin and Wayne Liao and Wen-Lian Hsu and Wen-Harn Pan},
  journal={Bioinformatics},
  year={2009},
  volume={25},
  pages={981 - 988}
}
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 cluster. We assumed that a complex disease is associated with multiple endophenotypes and can be induced by their up/downregulated gene expression patterns. Thus, a neural network model was adopted to… CONTINUE READING