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Identification and validation of the diagnostic signature associated with immune microenvironment of acute kidney injury based on ferroptosis-related genes through integrated bioinformatics analysis and machine learning.
Chen, Yalei; Liu, Anqi; Liu, Hunan; Cai, Guangyan; Lu, Nianfang; Chen, Jianwen.
Afiliación
  • Chen Y; Department of Critical Care Medicine, Capital Medical University Electric Power Teaching Hospital/State Grid Beijing Electric Power Hospital, Beijing, China.
  • Liu A; Department of Critical Care Medicine, Capital Medical University Electric Power Teaching Hospital/State Grid Beijing Electric Power Hospital, Beijing, China.
  • Liu H; Department of Critical Care Medicine, Capital Medical University Electric Power Teaching Hospital/State Grid Beijing Electric Power Hospital, Beijing, China.
  • Cai G; State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Kidney Diseases, Nephrology Institute of the Chinese People's Liberation Army, Beijing, Ch
  • Lu N; Department of Critical Care Medicine, Capital Medical University Electric Power Teaching Hospital/State Grid Beijing Electric Power Hospital, Beijing, China.
  • Chen J; State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Kidney Diseases, Nephrology Institute of the Chinese People's Liberation Army, Beijing, Ch
Front Cell Dev Biol ; 11: 1210714, 2023.
Article en En | MEDLINE | ID: mdl-37576602
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cell Dev Biol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cell Dev Biol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza