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. 2014 May 8;15(1):348. doi: 10.1186/1471-2164-15-348

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© Srivastava et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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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Combining outputs of individual tools do not affect the performance of predictions in Arabidopsis. (A) Comparison of true positive and false positive predictions by the top 6 tools for the Arabidospsis dataset. The arrow reveals Targetfinder as returning the maximum number of true positives. Union (B) of results (from Targetfinder and Tapirfasta; Tapirfasta results form a subset of results of Targetfinder), or intersection (C) of results (from Tapirfasta, Tapirhybrid and Target_Prediction) do not improve prediction rates as compared to those returned by Targetfinder alone. Bold and regular numbers represent false positives and true positives respectively.