Figure 5.

Results of TSN classification on MAQC-II datasets. MCC of MAQC-II endpoints A through I, based on models learned on the training set and then applied to the validation set. MCC values range from +1 (perfect prediction) to −1 (perfect inverse prediction), with 0 indicating random prediction. Boxplots show the MCC distribution of the models from the 15 groups, including TSN, that predicted all original and swap endpoints from the MAQC-II. The original and swap MCC values are averaged for each group. In addition to endpoints A through I, a boxplot showing the mean MCC over endpoints A through H is shown (ALL). We exclude endpoint I from this final boxplot because it is a negative control. The bottom and top of each box indicate the lower and upper quartiles of the data, respectively. The middle line represents the median. The whiskers indicate the extreme values. The asterisk represents the performance of TSN on that dataset. All raw data is included in Additional file 3.

Magis and Price BMC Bioinformatics 2012 13:227   doi:10.1186/1471-2105-13-227
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