A machine learning tool to analyze spectroscopic changes in high-dimensional data.
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| Title: | A machine learning tool to analyze spectroscopic changes in high-dimensional data. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41067345 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning tool to analyze spectroscopic changes in high-dimensional data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Martinez-Serra+A%22">Martinez-Serra A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Marchetti+G%22">Marchetti G</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22D'Amico+F%22">D'Amico F</searchLink>; Elettra Sincrotrone Trieste, S.S. 114 km 163.5, Basovizza, 34149 Trieste, Italy. Electronic address: francesco.damico@elettra.eu.<br /><searchLink fieldCode="AU" term="%22Fenoglio+I%22">Fenoglio I</searchLink>; Department of Chemistry, University of Turin, Via Pietro Giuria 7, 10125 Turin, Italy. Electronic address: ivana.fenoglio@unito.it.<br /><searchLink fieldCode="AU" term="%22Rossi+B%22">Rossi B</searchLink>; Elettra Sincrotrone Trieste, S.S. 114 km 163.5, Basovizza, 34149 Trieste, Italy. Electronic address: barbara.rossi@elettra.eu.<br /><searchLink fieldCode="AU" term="%22Monopoli+MP%22">Monopoli MP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Franzese+G%22">Franzese G</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227909578%22">International journal of biological macromolecules</searchLink> [Int J Biol Macromol] 2025 Nov; Vol. 330 (Pt 3), pp. 148095. <i>Date of Electronic Publication: </i>2025 Oct 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7909578 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0003 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201418130%22">01418130 </searchLink><i>NLM ISO Abbreviation: </i>Int J Biol Macromol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41067345 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ijbiomac.2025.148095 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 148095 Titles: – TitleFull: A machine learning tool to analyze spectroscopic changes in high-dimensional data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martinez-Serra A – PersonEntity: Name: NameFull: Marchetti G – PersonEntity: Name: NameFull: D'Amico F – PersonEntity: Name: NameFull: Fenoglio I – PersonEntity: Name: NameFull: Rossi B – PersonEntity: Name: NameFull: Monopoli MP – PersonEntity: Name: NameFull: Franzese G IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Nov Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1879-0003 Numbering: – Type: volume Value: 330 – Type: issue Value: Pt 3 Titles: – TitleFull: International journal of biological macromolecules Type: main |
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