Functional proteomics outlines the complexity of breast cancer molecular subtypes - Gámez-Pozo A; Trilla-Fuertes L; Berges-Soria J; Selevsek N; López-Vacas R; Díaz-Almirón M; Nanni P; Arevalillo JM; Navarro H; Grossmann J; Gayá Moreno F; Gómez Rioja R; et al. (Scientific Reports, 2017)

Combined label-free quantitative proteomics and microRNA expression analysis of breast cancer unravel molecular differences with clinical implications - Gámez-Pozo A; Berges-Soria J; Arevalillo JM; Nanni P; López-Vacas R; Navarro H; Grossmann J; Castaneda CA; Main P; Díaz-Almirón M; Espinosa E; Ciruelos E; et al. (Cancer Research, 2015)

Sensitivity to hyperprior parameters in Gaussian Bayesian networks - Gómez-Villegas, M.A.; Main, P.; Navarro, H.; Susi, R. (Journal of Multivariate Analysis, 2014)

Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions - Gómez-Villegas, M.A.; Main, P.; Navarro, H.; Susi, R. (Applied Mathematics and Computation, 2013)

Evaluating the difference between graph structures in Gaussian Bayesian networks - Gómez-Villegas, M.A.; Main, P.; Navarro, H.; Susi, R. (Expert Systems with Applications, 2011)

The effect of non-normality in the power exponential distributions - Gómez-Villegas, M.A.; Gómez-Sánchez-Manzano, E.; Maín, P.; Navarro, H. (Understanding Complex Systems, 2011)

Relative sensitivity of conditional distributions to kurtosis deviations in the joint model - Gómez-Villegas, M.A.; Main, P.; Navarro, H.; Susi, R. (Procedia - Social and Behavioral Sciences, 2010)

Asymptotic relationships between posterior probabilities and p-values using the hazard rate - Gómez-Villegas, M.; Maín, P.; Sanz, L.; Navarro, H. (Statistics and Probability Letters, 2004)

Molecular characterization of breast cancer cell response to metabolic drugs - Trilla-Fuertes L; Gámez-Pozo A; Arevalillo J; Díaz-Almirón M; Prado-Vázquez G; Zapater-Moros A; Navarro H; Aras-López R; Dapía I; López-Vacas R; Nanni P; Llorente-Armijo S; et al. (Oncotarget, 2018)

A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses - Prado-Vazquez, Guillermo; Gamez-Pozo, Angelo; Trilla-Fuertes, Lucia; Arevalillo, Jorge M.; Zapater-Moros, Andrea; Ferrer-Gomez, Maria; Diaz-Almiron, Mariana; Lopez-Vacas, Rocio; Navarro, Hilario; Main, Paloma; Feliu, Jaime; Zamora, Pilar; et al. (Scientific Reports, 2019)

Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities - Trilla-Fuertes, Lucia; Gamez-Pozo, Angelo; Prado-Vazquez, Guillermo; Zapater-Moros, Andrea; Diaz-Almiron, Mariana; Arevalillo, Jorge M; Ferrer-Gomez, Maria; Navarro, Hilario; Main, Paloma; Espinosa, Enrique; Pinto, Alvaro; Fresno Vara, Juan Angel (BMC Cancer, 2019)

Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer - Trilla-Fuertes L; Gámez-Pozo A; López-Camacho E; Prado-Vázquez G; Zapater-Moros A; López-Vacas R; Arevalillo JM; Díaz-Almirón M; Navarro H; Maín P; Espinosa E; Zamora P; et al. (BMC Cancer, 2020)

Bayesian networks established functional differences between breast cancer subtypes - Trilla-Fuertes L; Gámez-Pozo A; Arevalillo JM; López-Vacas R; López-Camacho E; Prado-Vázquez G; Zapater-Moros A; Díaz-Almirón M; Ferrer-Gómez M; Navarro H; Nanni P; Zamora P; et al. (PloS one, 2020)

Data projections by skewness maximization under scale mixtures of skew-normal vectors - Arevalillo, J.M.; Navarro, H. (Advances in Data Analysis and Classification, 2020)

Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer - Zapater-Moros A, Gámez-Pozo A, Prado-Vázquez G, Trilla-Fuertes L, Arevalillo JM, Díaz-Almirón M, Navarro H, Maín P, Feliú J, Zamora P, Espinosa E, Fresno Vara JÁ (Oncotarget, 2018)

Urothelial cancer proteomics provides both prognostic and functional information - De Velasco, G.; Trilla-Fuertes, L.; Gamez-Pozo, A.; Urbanowicz, M.; Ruiz-Ares, G.; Sepúlveda, J.M.; Prado-Vazquez, G.; Arevalillo, J.M.; Zapater-Moros, A.; Navarro, H.; Lopez-Vacas, R.; Manneh, R.; et al. (Scientific Reports, 2017)

A note on the direction maximizing skewness in multivariate skew-t vectors - Arevalillo, J.M.; Navarro, H. (Statistics and Probability Letters, 2015)

Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification - Arevalillo, J.M.; Navarro, H. (Computers in Biology and Medicine, 2013)

A study of the effect of kurtosis on discriminant analysis under elliptical populations - Arevalillo, J.M.; Navarro, H. (Journal of Multivariate Analysis, 2012)

Uncovering bivariate interactions in high dimensional data using random forests with data augmentation - Arevalillo, J.M.; Navarro, H. (Fundamenta Informaticae, 2011)

A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. - Arevalillo, J.M.; Navarro, H. (BMC bioinformatics, 2011)

Conditional specification with exponential power distributions - Main, P.; Navarro, H. (Communications in Statistics - Theory and Methods, 2010)

Using random forests to uncover bivariate interactions in high dimensional small data sets - Arevalillo, J.M.; Navarro, H. (Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics, StReBio '09, 2009)

Analyzing the effect of introducing a kurtosis parameter in Gaussian Bayesian networks - Main, P.; Navarro, H. (Reliability Engineering and System Safety, 2009)

On smoothness measurement for weakly stationary processes - Navarro, H. (Statistics and Probability Letters, 1999)

On tail behavior in Bayesian location inference - Maín, P.; Navarro, H. (Statistics and Probability Letters, 1997)

A stochastic ordering based on the canonical transformation of skew-normal vectors - Arevalillo, J.M.; Navarro, H. (Test, 2019)

Skewness-based projection pursuit as an eigenvector problem in scale mixtures of skew-normal distributions - Arevalillo, J.M.; Navarro, H. (Symmetry, 2021)

Skewness-kurtosis model-based projection pursuit with application to summarizing gene expression data - Arevalillo, J.M.; Navarro, H. (Mathematics, 2021)

New Insights on the Multivariate Skew Exponential Power Distribution - Arevalillo, J.M.; Navarro, H. (Mathematica Slovaca, 2023)

On the fourth cumulant tensor in projection pursuit for a flexible class of skewed models - Arevalillo,J.M.; Navarro,H. (Journal of Multivariate Analysis, 2026)