Benchmarking regulatory network reconstruction with GRENDEL

  title={Benchmarking regulatory network reconstruction with GRENDEL},
  author={Brian C. Haynes and Michael R. Brent},
  volume={25 6},
MOTIVATION Over the past decade, the prospect of inferring networks of gene regulation from high-throughput experimental data has received a great deal of attention. In contrast to the massive effort that has gone into automated deconvolution of biological networks, relatively little effort has been invested in benchmarking the proposed algorithms. The rate at which new network inference methods are being proposed far outpaces our ability to objectively evaluate and compare them. This is… CONTINUE READING
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