Link to the original source: https://www.sciencedirect.com/science/article/pii/S0010482524005912
APA: Rusu EC; Monfort-Lanzas P; Bertran L; Barrientos-Riosalido A; Solé E; Mahmoudian R; Aguilar C; Briansó S; Mohamed F; Garcia S; Camaron J; Auguet T (2024). Towards understanding post-COVID-19 condition: A systematic meta-analysis of transcriptomic alterations with sex-specific insights. COMPUTERS IN BIOLOGY AND MEDICINE, 175(), 108507-108507. DOI: 10.1016/j.compbiomed.2024.108507
Paper original source: COMPUTERS IN BIOLOGY AND MEDICINE. 175 108507-108507
Article's DOI: 10.1016/j.compbiomed.2024.108507
Journal publication year: 2024-01-01
Entity: Universitat Rovira i Virgili
Paper version: info:eu-repo/semantics/publishedVersion
Record's date: 2026-05-09
URV's Author/s: Aguilar Crespillo, Carmen Isabel / Auguet Quintillà, Maria Teresa / Barrientos Riosalido, Andrea / Bertran Ramos, Laia / Camarón Mallén, Javier Mariano
Department: Medicina i Cirurgia, Ciències Mèdiques Bàsiques
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Publication Type: Journal Publications
Author, as appears in the article.: Rusu EC; Monfort-Lanzas P; Bertran L; Barrientos-Riosalido A; Solé E; Mahmoudian R; Aguilar C; Briansó S; Mohamed F; Garcia S; Camaron J; Auguet T
Thematic Areas: Mathematical & computational biology, Health informatics, Engineering, biomedical, Engenharias iv, Computer science, interdisciplinary applications, Computer science applications, Ciência da computação, Biology, miscellaneous, Biology, Astronomia / física
Author's mail: javiermariano.camaron@urv.cat, javiermariano.camaron@urv.cat, andrea.barrientos@urv.cat, andrea.barrientos@urv.cat, andrea.barrientos@urv.cat, laia.bertranr@estudiants.urv.cat, laia.bertranr@estudiants.urv.cat, carmenisabel.aguilar@urv.cat, carmenisabel.aguilar@urv.cat, mariateresa.auguet@urv.cat, mariateresa.auguet@urv.cat