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ETHNOS_APP

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Nora Gutiérrez-Nájera

Dados Biográficos

ID7954263
NOMENora Gutiérrez-Nájera
PRENOMESNora
SOBRENOMEGutiérrez-Nájera
ASSINATURAGUTIÉRREZ-NÁJERA N
AFILIAÇÕESNational Institute of Genomic Medicine
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide

    Open Access•Manuel Alejandro Rojo-Romero, Nora Gutiérrez-Nájera et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our exploratory pathway analysis highlighted oxidative stress responses and neurodevelopmental pathways as key processes perturbed in the DLPFC of suicides. Regarding ML models, KNeighborsClassifier was the best predicting conditions. Here we show that these proteins of the DLPFC may help to identify brain processes associated with suicide and they could be validated as potential biomarkers of this outcome

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  • Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide

    Open Access•Manuel Alejandro Rojo-Romero, Nora Gutiérrez-Nájera et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our exploratory pathway analysis highlighted oxidative stress responses and neurodevelopmental pathways as key processes perturbed in the DLPFC of suicides. Regarding ML models, KNeighborsClassifier was the best predicting conditions. Here we show that these proteins of the DLPFC may help to identify brain processes associated with suicide and they could be validated as potential biomarkers of this outcome

14-3-3 protein interactions (1 obra) · Bioinformatics (1 obra) · Bioinformatics and Genomic Networks (1 obra) · Biology (1 obra) · Cognition (1 obra) · Computational biology (1 obra) · Computer Science (1 obra) · Data science (1 obra) · Identification (biology (1 obra) · Machine learning (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae