Lots of news this month as we work toward the next release. Many of these updates are thanks to users beginning to use DIMSpec "in the wild", partly in association with the recently completed NIST ...

This 5 day course provides a comprehensive overview of data analysis for metabolomics studies focusing on data from NMR spectroscopy and Liquid Chromatography-Mass Spectrometry. It combines lectures ...

The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States The Russell H. Morgan Department of ...

Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Speyerer Strasse 6, 69115 Heidelberg, Germany, FOM-AMOLF, ...

PANOPLY is a platform for applying state-of-the-art statistical and machine learning algorithms to transform multi-omic data from cancer samples into biologically meaningful and interpretable results.

You have full access to this article via your institution. Identifying metabolites present in unfractionated biological samples is a fundamentally different task from the process of identifying novel ...

Contributed by William A. Goddard III; received February 25, 2025; accepted June 2, 2025; reviewed by Rutger A. van Santen and Dierk Raabe In this work, we develop a machine learning framework by ...