Feature roadmap for TMEA

[kMutagene]

While this package already contains everything needed for performing TMEA, there are many things that can and should be ported from our internal analysis scripts that we used to prepare our paper. Users of this library can expect the following features to be added over time:

General:

• better result types as input for various functions (added via cc32d39 )
• namespace cleanup (shorter and more concise namespaces) (added via cc32d39 )

Plots:

• Visualizations for Surprisal Analysis results: constraint potential time course and free energy landscape (added via 121138f)
• Surprisal Analysis: constraint potential heatmap (added via 1be3084)
• Surprisal Analysis: plots for supporting selection of constraints that are important (visualizing Singular Values and data reconstruction) (added via eef8d55)
• Analytical plots for the TMEA result e.g. p value distribution,
• Set comparison (either via venn or chord diagrams, maybe add upset plot support)
• Weight distributions of single entities in the dataset across constraints (added via c8dccac)

Frames:

• Frames suitable for fast comparison of significant entities in the TMEA result

Additional dev tooling (moved to #2)

[kMutagene]

p-value distribution and set comparison will be added when potential users see the need for it.