Resolution:
## Figure 4.
Results of TSN classification on cancer datasets. Results of 100 rounds of 5-fold cross validation over a range of N = {2,3,4} where the number of differentially expressed probes is different for each
value of N {16,10,9}. This yields approximately the same number of possible combinations for
each value of N (~120), illustrating how classification accuracy can be determined by the permutation
itself, not just the number of combinations available. Results shown include accuracies
of fixed values of N as well as the dynamic N algorithm described in the methods section. Statistical differences were calculated
using the nonparametric Kruskal-Wallis one-way analysis of variance by ranks, and
a p-value < 0.05 was considered significant. If bars share the same letter they are
not statistically different. The datasets are derived from
[2] and represent a wide range of cancers. Significance plots for all nine cancer datasets
are in Additional file
1: Figure S4.
Magis and Price |