Semi-supervised network inference using simulated gene expression dynamics

@article{Nguyen2018SemisupervisedNI,
  title={Semi-supervised network inference using simulated gene expression dynamics},
  author={Phan Trung Hai Nguyen and Rosemary Braun},
  journal={Bioinformatics},
  year={2018},
  volume={34},
  pages={1148–1156}
}
Motivation Inferring the structure of gene regulatory networks from high-throughput datasets remains an important and unsolved problem. Current methods are hampered by problems such as noise, low sample size, and incomplete characterizations of regulatory dynamics, leading to networks with missing and anomalous links. Integration of prior network information (e.g. from pathway databases) has the potential to improve reconstructions. Results We developed a semi-supervised network… 

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