The erroneous links in networks inferred from data can be efficiently eliminated under certain conditions.
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References
Lopes, C.T. et al. Bioinformatics 26, 2347–2348 (2010).
Feizi, S. et al. Nat. Biotechnol. 31, 726–733 (2013).
Barzel, B. et al. Nat. Biotechnol. 31, 720–725 (2013).
Marbach, D. et al. Nat. Methods 9, 796–804 (2012).
Wright, S. J. Agric. Res. 20, 557–585 (1921).
Raveh, A. Am. Stat. 39, 39–42 (1985).
Ray, D. et al. Nature 499, 172–177 (2013).
Pearl, J. Sociol. Methods Res. 27, 226–284 (1998).
Pearl, J. Stat. Surv. 3, 96–146 (2009).
Simpson, E.H. J. Roy. Stat. Soc. B 13, 238–241 (1951).
Barash, Y. et al. Nature 465, 53–59 (2010).
Santhanam, N.P. et al. IEEE Trans. Inf. Theory 58, 4117–4134 (2012).
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Alipanahi, B., Frey, B. Network cleanup. Nat Biotechnol 31, 714–715 (2013). https://doi.org/10.1038/nbt.2657
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DOI: https://doi.org/10.1038/nbt.2657
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