Year: 2025
Type: preprint
Abstract: Data import and pre-processing are foundational steps in proteomics analysis, ensuring that raw experimental data is transformed into a clean, standardized format for downstream analysis. In the context of alpaca_proteomics, these steps are critical and applicable for both relative and absolute quantification in quantitative proteomics. Proper pre-processing removes contaminants, handles missing values, and normalizes datasets, minimizing technical variability and enhancing the accuracy of protein quantification. This ensures robust and reproducible results, enabling meaningful biological insights. The library streamlines these tasks, making it highly applicable for workflows involving large-scale proteomics data.
Author: Borja Ferrero Bordera
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4407128350