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ETHNOS_APP

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Nora Gutiérrez-Nájera

Datos Biográficos

ID7954263
NOMBRENora Gutiérrez-Nájera
NOMBRESNora
APELLIDOGutiérrez-Nájera
FIRMAGUTIÉRREZ-NÁJERA N
AFILIACIONESNational Institute of Genomic Medicine
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
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

Sin obras prominentes en esta página.

  • 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae