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. 2016 Aug 26;6:31865. doi: 10.1038/srep31865

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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The graphs on the top row compare the average F-measure of the highest scoring GO term assignments made by FFPred 3, Naïve and BLAST for the MF (left), BP (centre) and CC (right) domains, respectively. The bottom row shows the average information content of the true positives for the same predictions in the top row. Data are plotted only when there are at least 25 targets with x ∈ {1, 2, 3, 4, 5} predictions and validated annotations or more. The label n represents the case where for each protein the number of predictions assessed equals the number of experimentally supported functions.

Inline graphic — The graphs on the top row compare the average F-measure of the highest scoring GO term assignments made by FFPred 3, Naïve and BLAST for the MF (left), BP (centre) and CC (right) domains, respectively. The bottom row shows the average information content of the true positives for the same predictions in the top row. Data are plotted only when there are at least 25 targets with x ∈ {1, 2, 3, 4, 5} predictions and validated annotations or more. The label n represents the case where for each protein the number of predictions assessed equals the number of experimentally supported functions.