Add a column with Normalized abundance per Sample.

[JuanRivasSantisteban]

It would be interesting to compare the sum of abundance values with the k-values. In order to do that in contexts with very different number of samples, we should add another column with Abudance / n samples.

[pyubero]

Currently the available columns in the final adu_table (kvalues_gene.tsv) are:

• Gene
• Taxon
• Context
• Cluster
• Abundance
• Diversity
• Univocity
• delta (=Diversity/d_expected)
• normalization (=n_samples)
• k-value (=Abundance*delta/normalization)

Thus if you create the corresponding table with a NORMALIZE_NSAMPLES = True you can easily compute what you want as table["Abundance"]/table["normalization"], if you want to un-do the normalization on k-values simply compute table["k-value"]*table["normalization"].

[pyubero]

In the most recent commit of guild tensors visualize.py, we explicitly extract different columns from the adu table (kvals, nsamp, abund and delta) so that by defining K you can choose what to display in your plots.

For example set:
K = kvals (default)
K = kvals*nsamp (de-normalize)
K = abund/nsamp (normalized sum of abundances)
etcetera