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Reverse engineering gene regulatory networks

Nature Biotechnology volume 23, pages 554–555 (2005)Cite this article

An information theoretic algorithm that prunes away potentially indirect interactions allows for improved reconstruction of biological networks.

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Figure 1: Comparison of the performance of ARACNe and a Bayesian network inference algorithm in reverse engineering a synthetic gene regulatory network.

Bob Crimi

References

  1. Basso, K. et al. Nat. Gen. 37, 382–390 (2005).

    Article  CAS  Google Scholar 

  2. Butte, A.J. & Kohane, I.S. Pac. Symp. Biocomput. 2000, 418–429 (2000).

    Google Scholar 

  3. Butte, A.J., Tamayo, P., Slonim, D., Golub, T.R. & Kohane, I.S. Proc. Natl. Acad. Sci. USA 97, 12182–12186 (2000).

    Article  CAS  Google Scholar 

  4. Barabasi, A.L. Linked: How Everything Is Connected to Everything Else and What It Means (Plume, New York, NY, 2003).

    Google Scholar 

  5. The Gene Ontology Consortium. Gene Ontology: tool for the unification of biology. Nat. Gen. 25, 25–29 (2000).

  6. Smith, V.A., Jarvis, E.D. & Hartemink, A.J. Bioinformatics 18, S216–S224 (2002).

    Article  Google Scholar 

  7. Yu, J., Smith, V.A., Wang, P.P., Hartemink A.J. & Jarvis, E.D. in 3rd International Conference on Systems Biology (Karolinska Institute, Stockholm, Sweden, 2002).

    Google Scholar 

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  1. Department of Computer Science, Duke University, Box 90129, Durham, 27708-0129, North Carolina, USA

    Alexander J Hartemink

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  1. Alexander J Hartemink
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Hartemink, A. Reverse engineering gene regulatory networks. Nat Biotechnol 23, 554–555 (2005). https://doi.org/10.1038/nbt0505-554

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