1. Lucia Trilla-Fuertes, Angelo Gámez-Pozo, Guillermo Prado-Vázquez, Andrea Zapater-Moros, Mariana Díaz-Almirón, Jorge M Arevalillo, María Ferrer-Gómez, Hilario Navarro, Paloma Maín, Enrique Espinosa, Álvaro Pinto, Juan Ángel Fresno Vara (2019) Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities. BMC Cancer. 19:636
2. Jorge M Arevalillo, Hilario Navarro (2019) A stochastic ordering based on the canonical transformation of skew-normal vectors. TEST. 28 (2). 475-498
3. Jorge M Arevalillo (2019) A machine learning approach to assess price sensitivity with application to automobile loan segmentation. Applied Soft Computing. 76. 390-399
4. Guillermo Prado-Vazquez, Angelo Gamez-Pozo, Lucia Trilla-Fuertes, Jorge M Arevalillo, Andrea Zapater-Moros, Maria Ferrer-Gomez, Mariana Diaz-Almiron, Rocio Lopez-Vacas, Hilario Navarro, Paloma Main, Jaime Feliu, Pilar Zamora, Enrique Espinosa, Juan Ángel Fresno Vara (2019) A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses. Scientific Reports 9, Article number: 1538
5. Andrea Zapater-Moros, Ángelo Gámez-Pozo, Guillermo Prado-Vázquez, Lucía Trilla-Fuertes, Jorge M. Arevalillo, Mariana Díaz-Almirón, Hilario Navarro, Paloma Maín, Jaime Feliu, Pilar Zamora, Enrique Espinosa, Juan Ángel Fresno Vara (2018). Probabilistic Graphical Models Relate Immune Status With Response To Neoadjuvant Chemo-Therapy In Breast Cancer. Oncotarget. 9 (45). 27586-27594
6. Lucia Trilla-Fuertes, Angelo Gámez-Pozo, Jorge M Arevalillo, Mariana Diaz-Almiron, Guillermo Prado-Vazquez, Andrea Zapater-Moros, Hilario Navarro, Rosa Aras-Lopez, Irene Dapia, Rocio Lopez-Vacas, Paolo Nanni, Sara Llorente-Armijo, Pedro Arias, Alberto M Borobia, Paloma Main, Jaime Feliu, Enrique Espinosa (2018). Molecular characterization of breast cancer cell response to metabolic drugs. Oncotarget. 9 (11). 9645-9660
7. Lucia Trilla-Fuertes, Angelo Gamez-Pozo, Maria Urbanowicz, Gustavo Ruiz-Ares, Juan M Sepulveda, Guillermo Prado-Vazquez, Jorge M. Arevalillo, Andrea Zaparter-Moros, Hilario Navarro, Rocío López-Vacas, Ray Manneh, Irene Otero, Felipe Villacampa, Jesus M. Paramio, Juan A. Fresno-Vara, Daniel Castellano (2017). Urothelial cancer proteomics provides both prognostic and functional information. Scientific Reports 7, Article number: 15819
8. Jorge M Arevalillo, Marcelo B Sztein, Karen L Kotloff, Myron M Levine, Jakub K Simon (2017). Identification of immune correlates of protection in Shigella infection by application of machine learning. Journal of Biomedical Informatics. 74. 1-9
9. Angelo Gámez-Pozo, Lucía Trilla-Fuertes, Julia Berges-Soria, Nathalie Selevsek, Rocío López-Vacas, Mariana Díaz-Almirón, Paolo Nanni, Jorge M Arevalillo, Hilario Navarro, Jonas Grossmann, Francisco Gayá Moreno, Rubén Gómez Rioja, Guillermo Prado-Vázquez, Andrea Zapater-Moros, Paloma Main, Jaime Feliú, Purificación Martínez del Prado, Pilar Zamora, Eva Ciruelos, Enrique Espinosa, Juan Ángel Fresno Vara (2017). Functional proteomics outlines the complexity of breast cancer molecular subtypes. Scientific Reports 7, Article number: 10100
10. Jorge M Arevalillo (2016). The Cornish-Fisher Expansion for a Class of Statistics in First Order Autoregression. Communications in Statistics – Theory and Methods. 45 (11). 3196-3205
11. Paloma Maín, Jorge M Arevalillo, Hilario Navarro (2015). Local effect of asymmetry deviations from Gaussianity using information-based measures. In Proceedings of the 2nd Int. Electron. Conf. Entropy Appl. 15–30 November 2015; Sciforum Electronic Conference Series, Vol. 2, 2015 , B002; doi:10.3390/ecea-2-B002 http://sciforum.net/conference/ecea-2/paper/3252
12. Angelo Gámez-Pozo, Julia Berges-Soria, Jorge M Arevalillo, Paolo Nanni, Rocío López Vacas, Hilario Navarro, Jonas Grossmann, Carlos A Castañeda, Paloma Main, Mariana Diaz-Almiron, Enrique Espinosa, Eva Ciruelos, Juan Ángel Fresno Vara (2015). Combined label-free quantitative proteomics and microRNA expression analysis of breast cancer unravel molecular differences with clinical implications. Cancer Research. June 1, 75: 2243-2253
13. Jorge M Arevalillo, Hilario Navarro (2015). A note on the direction maximizing skewness in multivariate skew-t vectors. Statistics & Probability Letters. 96. 328-332
14. Jorge M. Arevalillo (2014). Higher-order approximations to the quantile of the distribution for a class of statistics in the first-order autoregression. TEST. 23 (2). 291-310
15. Jorge M. Arevalillo, Hilario Navarro (2013). Exploring correlations in gene expression microarray data for maximum predictive–minimum redundancy biomarker selection and classification. Computers in Biology and Medicine. 43 (10). 1437-1443
16. EM Ciruelos, A Gámez-Pozo, P Nanni, J Berges-Soria, H Navarro, R Lopez-Vacas, J Arevalillo, C Castañeda, J Grossmann, T Pascual, G de Velasco, M Diaz-Almiron, R Madero, P Main, E Espinosa, JA Fresno (2013). Analysis of miRNAs and proteins relations in breast cancer. Cancer Research. 2013; 73 (24 Suppl): Abstract nr P4-07-07. doi: 10.1158/0008-5472.SABCS13-P4-07-07
17. Jorge M. Arevalillo (2012). Exploring the relation between the r* approximation and the Edgeworth expansion. Metrika. 75 (8). 1009-1024
18. Sara Jurdao, Emilio Chuvieco, Jorge M Arevalillo (2012). Modelling forest fire ignition probability from satellite estimations of life fuel moisture content. Fire Ecology. 8 (1). 77-97
19. Jorge M. Arevalillo, Hilario Navarro (2012). A study of the effect of kurtosis on discriminant analysis under elliptical populations. Journal of Multivariate Analysis. 107. 53-63
20. Jorge M. Arevalillo, Hilario Navarro (2011). Uncovering bivariate interactions in high dimensional data using Random Forests with data augmentation. Fundamenta Informaticae, Special issue on Machine Learning in Bioinformatics. 113(2). 97-115
21. Jorge M. Arevalillo, Hilario Navarro (2011). A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. BMC Bionformatics. 12 (Suppl 12):S6. doi:10.1186/1471-2105-12-S12-S6
22. S. Jurdao, J. M. Arevalillo, E. Chuvieco, M. Yebra (2011). Development of a method to transform Life Fuel Moisture Content into ignition probability. Proceedings of the 34th International Symposium on Remote Sensing of Environment. Sydney
23. Jorge M. Arevalillo, Hilario Navarro (2009). Using random forests to uncover bivariate interactions in high dimensional small data sets. Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. 3-6, París. ACM New York, NY, USA. ISBN: 978-1-60558-667-0 doi. 10.1145/1562090.1562091
24. Jorge M. Arevalillo (2003). Inverting a saddlepoint approximation. Statistics & Probability letters. 61. 421-428
25. Arevalillo J.M (2001). A Second Order Approximation for the Inverse of the Distribution Function of the Sample Mean. Kybernetika. 37. 91-102