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 (IWBBIO (2), 2019)

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)

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 (IWBBIO (1), 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 (IWBBIO (2), 2022)

Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. - Alberto Segura-Delgado; Augusto Anguita-Ruiz; Rafael Alcalá; Jesús Alcalá-Fdez (Expert Syst. Appl., 2022)

Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. - Carmen Biedma-Rdguez; María José Gacto; Augusto Anguita-Ruiz; Jesús Alcalá-Fdez; Rafael Alcalá (Int. J. Fuzzy Syst., 2022)

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., 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, 2023)

Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. - Alberto Ramírez-Mena; Eduardo Andrés León; Maria Jesus Alvarez-Cubero; Augusto Anguita-Ruiz; Luis Javier Martinez-Gonzalez; Jesús Alcalá-Fdez (Comput. Methods Programs Biomed., 2023)

Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity. - María Arteaga; Álvaro Torres-Martos; Augusto Anguita-Ruiz; Jesús Alcalá-Fdez; Rafael Alcalá; María José Gacto (EXPLIMED@ECAI, 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)

Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform. - Xavier Escriba-Montagut; Yannick Marcon; Augusto Anguita-Ruiz; Demetris Avraam; Jose Urquiza; Andrei S. Morgan; Rebecca C. Wilson; Paul R. Burton; Juan R. González (PLoS Comput. Biol., 2024)