Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

@inproceedings{Zhang2013NetworkbasedSA,
  title={Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment},
  author={Wei Zhang and Takayo Ota and Viji Shridhar and Jeremey Chien and Baolin Wu and Rui Kuang},
  booktitle={PLoS Computational Biology},
  year={2013}
}
Cox regression is commonly used to predict the outcome by the time to an event of interest and in addition, identify relevant features for survival analysis in cancer genomics. Due to the high-dimensionality of high-throughput genomic data, existing Cox models trained on any particular dataset usually generalize poorly to other independent datasets. In this paper, we propose a network-based Cox regression model called Net-Cox and applied Net-Cox for a large-scale survival analysis across… CONTINUE READING
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