2026-07-14T07:30:08Z https://api.figshare.com/v2/oai
oai:figshare.com:article/32616876 2026-06-16T10:08:57Z category_25198 portal_549 item_type_9 month_year_06_2026
10.5522/04/32616876.v1 https://figshare.com/articles/software/Python_Script_for_Generating_Partial_Parallelism_Plots/32616876 https://ndownloader.figshare.com/files/65401794 https://ndownloader.figshare.com/files/65401968 https://ndownloader.figshare.com/files/65401980 10.3390/app14020602 Petzold, Axel Axel Petzold 0000-0002-0344-9749 <![CDATA[Python Script for Generating Partial Parallelism Plots]]> Medicinal and biomolecular chemistry not elsewhere classified parallelism partial parallelism plots biomarker validation 2026-06-16 2026-06-16 Software 2026 University College London This repository contains a standalone Python implementation for calculating coordinates and generating "Partial Parallelism Plots" (https://doi.org/10.3390/app14020602).


Partial Parallelism Plots are used in bioassays, immunoassay validations, and biomarker quantification to visually assess and verify parallel relationships between sample dilution series and reference standard curves. By standardising the dilution factors logarithmically on the X-axis and normalising the baseline-corrected concentrations to 1.0 on the Y-axis, this visualisation allows for direct, overlaid geometric comparison across distinct samples regardless of variations in their initial starting concentrations. This is much easier than trying to prove parallelism by statistical means.


Features:

- Accepts automated data ingestion from standard CSV file formats.

- Dynamically processes multi-sample arrays in a single execution.

- Automatically handles non-interactive backend environments (e.g., headless servers, CI/CD pipelines) by saving high resolution figures (300 DPI PNG) directly to the workspace.

- Includes automated log-scaling, concentration correction, and baseline normalization mathematics.


Prerequisites:

Python 3.x with `numpy`, `pandas`, and `matplotlib` libraries.

]]>