Gene Signatures Research Involved in Cancer Using Machine Learning

by Jose Liñares-Blanco, Carlos Fernandez-Lozano
Published 2019-07-01

Prediction of Peptide Vascularization Inhibitory Activity in Tumor Tissue as a Possible Target for Cancer Treatment

by Jose Liñares-Blanco, Carlos Fernandez-Lozano
Published 2019-07-01

Machine learning analysis of TCGA cancer data

by Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano
Published 2021-07-01

Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes

by Diego Fernández-Edreira, Jose Liñares-Blanco, Carlos Fernandez-Lozano
Published 2020-08-01

Molecular docking and machine learning analysis of Abemaciclib in colon cancer

by Jose Liñares-Blanco, Cristian R. Munteanu, Alejandro Pazos, Carlos Fernandez-Lozano
Published 2020-07-01

Visual complexity modelling based on image features fusion of multiple kernels

by Carlos Fernandez-Lozano, Adrian Carballal, Penousal Machado, Antonino Santos, Juan Romero
Published 2019-07-01

ISG15, a Small Molecule with Huge Implications: Regulation of Mitochondrial Homeostasis

by Manuel Albert, Martina Bécares, Michela Falqui, Carlos Fernández-Lozano, Susana Guerra
Published 2018-11-01

Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors

by Paula Carracedo-Reboredo, Cristian R. Munteanu, Humbert González-Díaz, Carlos Fernandez-Lozano
Published 2020-08-01

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity

by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Iria Santos, Juan Romero
Published 2020-04-01

Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach

by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos
Published 2019-01-01

A methodology for the design of experiments in computational intelligence with multiple regression models

by Carlos Fernandez-Lozano, Marcos Gestal, Cristian R. Munteanu, Julian Dorado, Alejandro Pazos
Published 2016-12-01

Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques

by Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega-Díaz, Alejandro Pazos
Published 2020-07-01

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

by Yong Liu, Yong Liu, Cristian R. Munteanu, Carlos Fernandez-Lozano, Carlos Fernandez-Lozano, Alejandro Pazos, Alejandro Pazos, Tao Ran, Zhiliang Tan, Zhiliang Tan, Yizun Yu, Chuanshe Zhou, Chuanshe Zhou, Shaoxun Tang, Shaoxun Tang, Humberto González-Díaz, Humberto González-Díaz
Published 2017-06-01

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs

by Miriam Piles, Carlos Fernandez-Lozano, María Velasco-Galilea, Olga González-Rodríguez, Juan Pablo Sánchez, David Torrallardona, Maria Ballester, Raquel Quintanilla
Published 2019-03-01

A review on machine learning approaches and trends in drug discovery

by Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano
Published 2021-01-01

Random forest-based prediction of stroke outcome

by Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato-Abad, Manuel Rodríguez-Yáñez, Sonia Suárez-Garaboa, Iria López-Dequidt, Ana Estany-Gestal, Tomás Sobrino, Francisco Campos, José Castillo, Santiago Rodríguez-Yáñez, Ramón Iglesias-Rey
Published 2021-05-01