Jordi Capellades

Multi-omic dissection of reversible and persistent molecular alterations in diet-induced obesity

This study identifies reversible and persistent molecular changes in diet-induced obesity using multi-omic analysis, showing that microbial functional profiles drive persistent alterations.

ChemEmbed: A deep learning framework for metabolite identification using enhanced MS/MS data and multidimensional molecular embeddings

ChemEmbed improves metabolite identification by combining enhanced MS/MS data with multidimensional molecular embeddings, achieving high accuracy in benchmark tests.

HERMES: a molecular formula-oriented method to target the metabolome

HERMES improves metabolite identification and structural annotation in mass spectrometry by using molecular formulas and avoiding peak detection.