Full-DIA enables complete single-cell proteomics from diaPASEF using deep learning

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Song, Momenzadeh, Liu, Shen, Meyer, Wu
DOI: 10.5281/zenodo.19448789
Cited by: 1

Abstract

Full-DIA is an open source software for diaPASEF data analysis that leverages deep learning to improve proteome coverage, quantitative accuracy and analysis speed. Most notably, Full-DIA is the first to automatically generate a missing-value-free protein matrix under global FDR control.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 April 2026