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Metabolomic and Lipidomic Characterization of Meningioma Grades Using LC-HRMS and Machine Learning.
Safari Yazd, Hoda; Bazargani, Sina Feizbakhsh; Fitzpatrick, Garrett; Yost, Richard A; Kresak, Jesse; Garrett, Timothy J.
Afiliación
  • Safari Yazd H; Department of Chemistry, University of Florida, Gainesville, Florida 32610, United States.
  • Bazargani SF; Department of Chemistry, University of Florida, Gainesville, Florida 32610, United States.
  • Fitzpatrick G; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32610, United States.
  • Yost RA; Department of Chemistry, University of Florida, Gainesville, Florida 32610, United States.
  • Kresak J; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32610, United States.
  • Garrett TJ; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida 32610, United States.
J Am Soc Mass Spectrom ; 34(10): 2187-2198, 2023 Oct 04.
Article en En | MEDLINE | ID: mdl-37708056
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Neoplasias Meníngeas / Meningioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Soc Mass Spectrom Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Neoplasias Meníngeas / Meningioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Soc Mass Spectrom Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos