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

af Arevalillo, Jorge M, Navarro, Hilario
Udgivet 2011

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

af Arevalillo, Jorge M, Sztein, Marcelo B, Kotloff, Karen L, Levine, Myron M, Simon, Jakub K
Udgivet i J Biomed Inform (2017)

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

af 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
Udgivet i Oncotarget (2018)

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

af 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
Udgivet i BMC Cancer (2019)

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

af 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
Udgivet i BMC Cancer (2020)

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

af 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
Udgivet i Sci Rep (2019)

Bayesian networks established functional differences between breast cancer subtypes

af 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
Udgivet i PLoS One (2020)

Urothelial cancer proteomics provides both prognostic and functional information

af 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
Udgivet i Sci Rep (2017)

Molecular characterization of breast cancer cell response to metabolic drugs

af 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
Udgivet i Oncotarget (2018)

Functional proteomics outlines the complexity of breast cancer molecular subtypes

af 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
Udgivet i Sci Rep (2017)