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. 2008 Oct 18;36(20):6585–6591. doi: 10.1093/nar/gkn740

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© 2008 The Author(s)

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4. — Our model can successfully predict probe signal intensities. (A) The prediction on randomly chosen probes at random target concentrations. Top: the training data; Bottom: the evaluation data. (B) Scatter plot of all training data. (C) Scatter plot of the evaluation data. The training data are consisted of half of the probes from Figure 1, and evaluation data from the other half. (D) Extended evaluation on 266 (75% of total) probes that satisfy Δ G_o > −2.5. All signal intensities are in log scale. The parameters in this figure are A = 33.408 (pM)⁻¹, p = 898 pM, k_b = 1.348E-3 s^-1 and γ = 245 500 pM s.