Response to the letter ‘testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis’

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URI: https://hdl.handle.net/10481/92676
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Autor
Toro-Dominguez, Daniel; Martorell Marugán, Jordi; Martínez Bueno, Manuel; López Domínguez, Raúl; Carnero Montoro, Elena; Barturen, Guillermo; Goldman, Daniel; Petri, Michelle; Carmona Sáez, Pedro; Alarcón Riquelme, Marta Eugenia
Editorial
Oxford University Press
Materia
Systemic lupus erythematosus
 
Machine learning
 
Transcriptomics
 
Fecha
2023-12-11
Referencia bibliográfica
Daniel Toro-Domínguez, Jordi Martorell-Marugán, Manuel Martinez-Bueno, Raúl López-Domínguez, Elena Carnero-Montoro, Guillermo Barturen, Daniel Goldman, Michelle Petri, Pedro Carmona-Sáez, Marta E Alarcón-Riquelme, Response to the letter ‘testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis’, Briefings in Bioinformatics, Volume 25, Issue 1, January 2024, bbad454, https://doi.org/10.1093/bib/bbad454
Patrocinador
Grant PID2020-119032RB-I00 supported by MCIN/AEI/10.13039/501100011033: FEDER and the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 831434 (3TR); European Union’s Horizon 2020 research and innovation programme; EFPIA; FEDER/Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades (grants P20_00335 and B-CTS-40-UGR20); Aid granted of the ‘Consejería de Transformación Económica, Industria, Conocimiento y Universidades’ (CTEICU), in the 2020 call, being co-financed by the European Union through the European Social Fund (ESF) named ‘Andalucía se mueve con Europa”, within the framework of the Andalusian ESF Operational Program 2014–2020; Sara Borrell grant # ISCIII CD18/00149; Ministerio de Universidades (Spain’s Government); European Union – NextGenerationEU
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Atribución 4.0 Internacional
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