Discovery of meaningful associations in genomic data using partial correlation coefficients. - Alberto de la Fuente; Nan Bing; Ina Hoeschele; Pedro Mendes 001 (Bioinform., 2004)

Simulating systems genetics data with SysGenSIM. - Andrea Pinna 003; Nicola Soranzo; Ina Hoeschele; Alberto de la Fuente (Bioinform., 2011)

Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. - Andrea Pinna 003; Sandra Heise; Robert J. Flassig; Alberto de la Fuente; Steffen Klamt (BMC Syst. Biol., 2013)

Condensing Biochemistry into Gene Regulatory Networks. - Alberto de la Fuente (Int. J. Nat. Comput. Res., 2014)

In-lab validation of jammer detection and direction finding algorithms for GNSS. - Ruben Morales Ferre; Philipp Richter; Alberto de la Fuente; Elena Simona Lohan (ICL-GNSS, 2019)

Jammer Classification in GNSS Bands Via Machine Learning Algorithms. - Ruben Morales Ferre; Alberto de la Fuente; Elena Simona Lohan (Sensors, 2019)

Image datasets for jammer classification in GNSS. - Ruben Morales Ferre; Elena Simona Lohan; Alberto de la Fuente (Zenodo, 2019)

Image datasets for jammer classification in GNSS. - Ruben Morales Ferre; Elena Simona Lohan; Alberto de la Fuente (Zenodo, 2019)

A Survey on Coping With Intentional Interference in Satellite Navigation for Manned and Unmanned Aircraft. - Ruben Morales Ferre; Philipp Richter; Emanuela Falletti; Alberto de la Fuente; Elena Simona Lohan (IEEE Commun. Surv. Tutorials, 2020)

Collaborative Solutions for Interference Management in GNSS-Based Aircraft Navigation. - Mario Nicola; Gianluca Falco; Ruben Morales Ferre; Elena Simona Lohan; Alberto de la Fuente; Emanuela Falletti (Sensors, 2020)