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. 2017 Mar 14;18(Suppl 3):70. doi: 10.1186/s12859-017-1475-5

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© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Effects of secondary structural information on prediction accuracy of RSA. Panel (a) shows the strong correlation between average RSA and SS type of residues, while panel (b) shows the prediction accuracy for residues with different SS types. a Average RSA of residues with different SS types. b Prediction accuracy of RSA for residues with different SS types