A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis

di Arevalillo, Jorge M, Navarro, Hilario
Pubblicazione 2011

Identification of immune correlates of protection in Shigella infection by application of machine learning

di Arevalillo, Jorge M, Sztein, Marcelo B, Kotloff, Karen L, Levine, Myron M, Simon, Jakub K
Pubblicato in J Biomed Inform (2017)

Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer

di Zapater-Moros, Andrea, Gámez-Pozo, Angelo, Prado-Vázquez, Guillermo, Trilla-Fuertes, Lucía, Arevalillo, Jorge M., Díaz-Almirón, Mariana, Navarro, Hilario, Maín, Paloma, Feliú, Jaime, Zamora, Pilar, Espinosa, Enrique, Fresno Vara, Juan Ángel
Pubblicato in Oncotarget (2018)

Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities

di Trilla-Fuertes, Lucía, Gámez-Pozo, Angelo, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, Díaz-Almirón, Mariana, Arevalillo, Jorge M., Ferrer-Gómez, María, Navarro, Hilario, Maín, Paloma, Espinosa, Enrique, Pinto, Álvaro, Vara, Juan Ángel Fresno
Pubblicato in BMC Cancer (2019)

Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

di Trilla-Fuertes, Lucía, Gámez-Pozo, Angelo, López-Camacho, Elena, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, López-Vacas, Rocío, Arevalillo, Jorge M., Díaz-Almirón, Mariana, Navarro, Hilario, Maín, Paloma, Espinosa, Enrique, Zamora, Pilar, Fresno Vara, Juan Ángel
Pubblicato in BMC Cancer (2020)

A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses

di Prado-Vázquez, Guillermo, Gámez-Pozo, Angelo, Trilla-Fuertes, Lucía, Arevalillo, Jorge M., Zapater-Moros, Andrea, Ferrer-Gómez, María, Díaz-Almirón, Mariana, López-Vacas, Rocío, Navarro, Hilario, Maín, Paloma, Feliú, Jaime, Zamora, Pilar, Espinosa, Enrique, Fresno Vara, Juan Ángel
Pubblicato in Sci Rep (2019)

Bayesian networks established functional differences between breast cancer subtypes

di Trilla-Fuertes, Lucía, Gámez-Pozo, Angelo, Arevalillo, Jorge M., López-Vacas, Rocío, López-Camacho, Elena, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, Díaz-Almirón, Mariana, Ferrer-Gómez, María, Navarro, Hilario, Nanni, Paolo, Zamora, Pilar, Espinosa, Enrique, Maín, Paloma, Fresno Vara, Juan Ángel
Pubblicato in PLoS One (2020)

Urothelial cancer proteomics provides both prognostic and functional information

di de Velasco, Guillermo, Trilla-Fuertes, Lucia, Gamez-Pozo, Angelo, Urbanowicz, Maria, Ruiz-Ares, Gustavo, Sepúlveda, Juan M., Prado-Vazquez, Guillermo, Arevalillo, Jorge M., Zapater-Moros, Andrea, Navarro, Hilario, Lopez-Vacas, Rocio, Manneh, Ray, Otero, Irene, Villacampa, Felipe, Paramio, Jesus M., Vara, Juan Angel Fresno, Castellano, Daniel
Pubblicato in Sci Rep (2017)

Molecular characterization of breast cancer cell response to metabolic drugs

di Trilla-Fuertes, Lucía, Gámez-Pozo, Angelo, Arevalillo, Jorge M., Díaz-Almirón, Mariana, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, Navarro, Hilario, Aras-López, Rosa, Dapía, Irene, López-Vacas, Rocío, Nanni, Paolo, Llorente-Armijo, Sara, Arias, Pedro, Borobia, Alberto M., Maín, Paloma, Feliú, Jaime, Espinosa, Enrique, Fresno Vara, Juan Ángel
Pubblicato in Oncotarget (2018)

Functional proteomics outlines the complexity of breast cancer molecular subtypes

di Gámez-Pozo, Angelo, Trilla-Fuertes, Lucía, Berges-Soria, Julia, Selevsek, Nathalie, López-Vacas, Rocío, Díaz-Almirón, Mariana, Nanni, Paolo, Arevalillo, Jorge M., Navarro, Hilario, Grossmann, Jonas, Gayá Moreno, Francisco, Gómez Rioja, Rubén, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, Main, Paloma, Feliú, Jaime, Martínez del Prado, Purificación, Zamora, Pilar, Ciruelos, Eva, Espinosa, Enrique, Fresno Vara, Juan Ángel
Pubblicato in Sci Rep (2017)