Henry E. Webel

Jun 25, 2024 | nature.com | Henry E. Webel |Lili Niu |Marie Locard-Paulet |Matthias Mann

AbstractImputation techniques provide means to replace missing measurements with a value and are used in almost all downstream analysis of mass spectrometry (MS) based proteomics data using label-free quantification (LFQ). Here we demonstrate how collaborative filtering, denoising autoencoders, and variational autoencoders can impute missing values in the context of LFQ at different levels.

Jan 22, 2024 | nature.com | Henry E. Webel |Yasset Perez-Riverol

AbstractHere we provide a curated, large scale, label free mass spectrometry-based proteomics data set derived from HeLa cell lines for general purpose machine learning and analysis. Data access and filtering is a tedious task, which takes up considerable amounts of time for researchers. Therefore we provide machine based metadata for easy selection and overview along the 7,444 raw files and MaxQuant search output.

Nov 15, 2023 | nature.com | Thit Mynster Kronborg |Henry E. Webel |Malene Barfod O’Connell |Karen Vagner Danielsen |Lise Hobolth |Flemming Bendtsen | +4 more

AbstractThe inflammatory activity in cirrhosis is often pronounced and related to episodes of decompensation. Systemic markers of inflammation may contain prognostic information, and we investigated their possible correlation with admissions and mortality among patients with newly diagnosed liver cirrhosis. We collected plasma samples from 149 patients with newly diagnosed (within the past 6 months) cirrhosis, and registered deaths and hospital admissions within 180 days.