Computational Surprisal Analysis Speeds-Up Genomic Characterization of Cancer Processes
Figure 11
With an initial set of concepts obtained from the surprisal analysis, one performs a computational experiment, whose outcome is a diagram. If one obtains interesting results, one may generalize by inserting this type of diagram in the 4th softmodule and by adding concepts to the subject domain. The cycle may be repeated as many times as desired.