294 imputation using normal distribution sampling

[henninggaertner]

• fixes Imputation using normal distribution sampling #294

Description (what might a Reviewer want to know)

• nothing noteworthy, only implemented new imputation method, associated plot method (which is the same for all imputation methods) and created associated location mappings in location_mapping.py
• this imputation method basically calculates the most fitting normal distribution for the data, then creates a new normal dist. by downshifting the mean and scaling the sd, then samples it to replace missing values. (can be done per protein group or over entire dataset)

PR checklist

• main-branch has been merged into local branch to resolve conflicts
• tests and linter have passed AFTER local merge
• at least one other dev reviewed and approved
• documentation
• tests

[github-actions]

Coverage report

The coverage rate went from 71.42% to 71.09% ⬇️
The branch rate is 64%.

72% of new lines are covered.

Diff Coverage details (click to unfold)

protzilla/constants/location_mapping.py

100% of new lines are covered (100% of the complete file).

protzilla/data_preprocessing/imputation.py

72% of new lines are covered (73.07% of the complete file).
Missing lines: 265, 268, 271, 274, 286, 289, 292, 297, 299, 302, 305, 319, 322, 325