Enhancing Breast Cancer Classification via Information and Multi-model Integration. - Juan Carlos Morales; Francisco Carrillo-Perez; Daniel Castillo-Secilla; Ignacio Rojas; Luis Javier Herrera (IWBBIO, 2020)

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. - Juan Manuel Galvez; Daniel Castillo-Secilla; Luis Javier Herrera; Olga Valenzuela; Octavio Caba; José C. Prados; Francisco M. Ortuño Guzman; Ignacio Rojas (IEEE J. Biomed. Health Informatics, 2020)

COVID-19 Biomarkers Detection Using 'KnowSeq' R Package. - Javier Bajo-Morales; Daniel Castillo-Secilla; Luis Javier Herrera; Ignacio Rojas (BIOMESIP, 2021)

Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BIOMESIP, 2021)

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Yésica Molina-Castro; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BMC Bioinform., 2021)

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. - Daniel Castillo-Secilla; Juan Manuel Galvez; Francisco Carrillo-Perez; Marta Verona-Almeida; Daniel Redondo-Sánchez; Francisco M. Ortuño Guzman; Luis Javier Herrera; Ignacio Rojas (Comput. Biol. Medicine, 2021)

Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite. - Daniel Castillo-Secilla; Daniel Redondo-Sánchez; Luis Javier Herrera; Ignacio Rojas; Alberto Guillén (IWBBIO (1), 2022)

Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Jesús González 001; Luis Javier Herrera; Ignacio Rojas (IWANN (1), 2023)

Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Dragi Kimovski; Jesús González 001 (IWANN (1), 2023)

Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Jesús González 001 (GECCO Companion, 2024)

Tuning multi-objective multi-population evolutionary models for high-dimensional problems: The case of the migration process. - Juan Carlos Gómez-López; Manuel Rodríguez-Álvarez; Daniel Castillo-Secilla; Jesús González 001 (Neurocomputing, 2025)