OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry.

ABSTRACT:

Background

Missing values are a key issue in the statistical analysis of proteomic data. Defining the strategy to address missing values is a complex task in each study, potentially affecting the quality of statistical analyses.

Results

We have developed OptiMissP, a dashboard to visually and qualitatively evaluate missingness and guide decision making in the handling of missing values in proteomics studies that use data-independent acquisition mass spectrometry. It provides a set of visual tools to retrieve information about missingness through protein densities and topology-based approaches, and facilitates exploration of different imputation methods and missingness thresholds.

Conclusions

OptiMissP provides support for researchers' and clinicians' qualitative asses

SUBMITTER: Arioli A 

PROVIDER: S-EPMC8049317 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature