SIRENE: supervised inference of regulatory networks

@article{Mordelet2008SIRENESI,
  title={SIRENE: supervised inference of regulatory networks},
  author={Fantine Mordelet and Jean-Philippe Vert},
  journal={Bioinformatics},
  year={2008},
  volume={24 16},
  pages={
          i76-82
        }
}
MOTIVATION Living cells are the product of gene expression programs that involve the regulated transcription of thousands of genes. The elucidation of transcriptional regulatory networks is thus needed to understand the cell's working mechanism, and can for example, be useful for the discovery of novel therapeutic targets. Although several methods have been proposed to infer gene regulatory networks from gene expression data, a recent comparison on a large-scale benchmark experiment revealed… CONTINUE READING
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