GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data. - Karol Estrada; Anis Abuseiris; Frank G. Grosveld; André G. Uitterlinden; Tobias A. Knoch; Fernando Rivadeneira (Bioinform., 2009)

Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data. - Javier De Velasco Oriol; Edgar E. Vallejo-Clemente; Karol Estrada; José Gerardo Tamez-Peña; Alzheimer's Disease Neuroimaging Initiative (BMC Bioinform., 2019)

Detecting Clustered Independent Rare Variant Associations Using Genetic Algorithms. - Mauricio Guevara-Souza; Edgar E. Vallejo; Karol Estrada (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multivariate genome-wide association study models to improve prediction of Crohn's disease risk and identification of potential novel variants. - Debora Garza-Hernandez; Karol Estrada; Victor Trevino (Comput. Biol. Medicine, 2022)