A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer

@inproceedings{Shen2010AME,
  title={A modulated empirical Bayes model for identifying topological and temporal estrogen receptor α regulatory networks in breast cancer},
  author={Changyu Shen and Yi-Wen Huang and Yunlong Liu and Guohua Wang and Yuming Zhao and Zhiping Wang and Mingxiang Teng and Yadong Wang and David A. Flockhart and Todd C. Skaar and Pearlly Yan and Kenneth P. Nephew and Tim Hui-Ming Huang and Lang Li},
  booktitle={BMC Systems Biology},
  year={2010}
}
Estrogens regulate diverse physiological processes in various tissues through genomic and non-genomic mechanisms that result in activation or repression of gene expression. Transcription regulation upon estrogen stimulation is a critical biological process underlying the onset and progress of the majority of breast cancer. Dynamic gene expression changes have been shown to characterize the breast cancer cell response to estrogens, the every molecular mechanism of which is still not well… CONTINUE READING
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