Review article https://doi.org/10.1038/s41467-025-63751-1 Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data Received: 27 July 2024 1234567890():,; 1234567890():,; Accepted: 25 August 2025 Check for updates Jakub Idkowiak1,2, Jonas Dehairs 2, Jana…
MULTI-OMIC CHARACTERIZATION OF PLASMA FROM PATIENTS DIAGNOSED WITH BLADDER CANCER REVEALS MOLECULAR INSIGHT INTO IMMUNITY AND RECEPTOR SIGNALING PATHWAYS Lee A Gethings1, Adam King1, Andrew Peck2, Robert S. Plumb2 1 Waters Corporation, Wilmslow, United Kingdom, 2 Waters Corporation, Milford, MA…
[ APPLICATION NOTE ] LipidQuan: A Rapid and Comprehensive Targeted Approach Investigating the Lipidome of Bladder Cancer Subjects Nyasha Munjoma, 1 Giorgis Isaac, 2 Lee A. Gethings,1 and Robert S. Plumb 2 1 Waters Corporation, Wilmslow, UK 2 Waters Corporation,…
Application Note Application of LipidQuan to the Study of Prostate Cancer and the Response to Various Treatment Therapies Nyasha Munjoma, Chris Hughes, Giorgis Isaac, Lee A. Gethings, Robert S. Plumb, Ammara Muazzam, Olivier Cexus, Anthony D. Whetton, Paul A. Townsend,…
