A machine learning tool to analyze spectroscopic changes in high-dimensional data.

Saved in:
Bibliographic Details
Title: A machine learning tool to analyze spectroscopic changes in high-dimensional data.
Authors: Martinez-Serra A; Department of Chemistry, Royal College of Surgeons in Ireland, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin, D02 YN77, Ireland. Electronic address: amartinezserra@rcsi.com., Marchetti G; Departament de Física de la Matèria Condensada, Universitat de Barcelona, Martí i Franquès 1, Barcelona, 08028, Spain; Institut de Nanociència i Nanotecnologia, Universitat de Barcelona, Diagonal 645, Barcelona, 08028, Spain. Electronic address: gionnimarcheti@ub.edu., D'Amico F; Elettra Sincrotrone Trieste, S.S. 114 km 163.5, Basovizza, 34149 Trieste, Italy. Electronic address: francesco.damico@elettra.eu., Fenoglio I; Department of Chemistry, University of Turin, Via Pietro Giuria 7, 10125 Turin, Italy. Electronic address: ivana.fenoglio@unito.it., Rossi B; Elettra Sincrotrone Trieste, S.S. 114 km 163.5, Basovizza, 34149 Trieste, Italy. Electronic address: barbara.rossi@elettra.eu., Monopoli MP; Department of Chemistry, Royal College of Surgeons in Ireland, RCSI University of Medicine and Health Sciences, 123 St Stephen's Green, Dublin, D02 YN77, Ireland. Electronic address: marcomonopoli@rcsi.com., Franzese G; Departament de Física de la Matèria Condensada, Universitat de Barcelona, Martí i Franquès 1, Barcelona, 08028, Spain; Institut de Nanociència i Nanotecnologia, Universitat de Barcelona, Diagonal 645, Barcelona, 08028, Spain. Electronic address: gfranzese@ub.edu.
Source: International journal of biological macromolecules [Int J Biol Macromol] 2025 Nov; Vol. 330 (Pt 3), pp. 148095. Date of Electronic Publication: 2025 Oct 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7909578 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0003 (Electronic) Linking ISSN: 01418130 NLM ISO Abbreviation: Int J Biol Macromol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0003
DOI:10.1016/j.ijbiomac.2025.148095