Concepción Maria Aguilera

According to our database, Concepción Maria Aguilera authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study.

Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Alberto Ramírez-Mena, María Arteaga, Gloria Bueno, Rosaura Leis, Concepción Maria Aguilera, Rafael Alcalá, Jesús Alcalá-Fdez

Artif. Intell. Medicine, 2024

2023

Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity.

Mireia Bustos-Aibar, Concepción Maria Aguilera, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Julio Plaza-Díaz, Abel Plaza-Florido, Inés Tofe, Mercedes Gil-Campos, María José Gacto, Augusto Anguita-Ruiz

Comput. Biol. Medicine, September, 2023

Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy.

Carmen Biedma-Rdguez, María José Gacto, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

Fuzzy Sets Syst., August, 2023

2022

Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity.

Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project.

Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Jesús Alcalá-Fdez, Francisco Javier Ruiz-Ojeda, Marjorie Reyes-Farias, Andrea Soria-Gondek, Laura Herrero, David Sánchez-Infantes, Concepción Maria Aguilera

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

2020

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research.

Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá-Fdez

PLoS Comput. Biol., 2020

2019

Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans.

Augusto Anguita-Ruiz, Alberto Segura-Delgado, Rafael Alcalá, Concepción Maria Aguilera, Jesús Alcalá Fernández

Proceedings of the Bioinformatics and Biomedical Engineering, 2019