Julián Dorado

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Marcos Gestal, Nieves Pedreira, Alejandro Pazos, 2019, International journal of molecular sciences.

Developing a Secure Low-Cost Radon Monitoring System

Marcos Gestal, Julián Dorado, Alberto Alvarellos, 2020, Sensors.

LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design

Nieves Pedreira, Alejandro Pazos, Cristian R Munteanu, 2014, Molecular informatics.

GDPR Impacts and Opportunities for Computer-Aided Diagnosis Guidelines and Legal Perspectives

Julián Dorado, Carlos Costa, Micael Pedrosa, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Example-based learning: development of business applications witn .Net technologies

Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, 2015 .

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

Carlos Fernandez-Lozano, Cristian Robert Munteanu, Marcos Gestal, 2013, Current topics in medicinal chemistry.

Linking of an Artificial Neural Network with the Eeie Expert System to Identify Environmental Impacts.

Alejandro Pazos, Julián Dorado, Antonino Santos del Riego, 2021 .

Exploring patterns of epigenetic information with data mining techniques.

Marcos Gestal, Vanessa Aguiar-Pulido, Julián Dorado, 2012, Current pharmaceutical design.

Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction

Juan R. Rabuñal, Cristian R. Munteanu, Marcos Gestal, 2020, Applied Sciences.

Markov mean properties for cell death-related protein classification.

Carlos Fernandez-Lozano, Marcos Gestal, Alejandro Pazos, 2014, Journal of theoretical biology.