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Jorge M Arevalillo
Jorge M Arevalillo
Associate Professor, UNED. Visiting researcher at UC3M-Santander Big Data Institute
Verified email at ccia.uned.es - Homepage
Title
Cited by
Cited by
Year
Modelling fire ignition probability from satellite estimates of live fuel moisture content
S Jurdao, E Chuvieco, JM Arevalillo
Fire Ecology 8, 77-97, 2012
1012012
A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses
G Prado-Vázquez, A Gámez-Pozo, L Trilla-Fuertes, JM Arevalillo, ...
Scientific reports 9 (1), 1538, 2019
732019
Combined label-free quantitative proteomics and microRNA expression analysis of breast cancer unravel molecular differences with clinical implications
A Gámez-Pozo, J Berges-Soria, JM Arevalillo, P Nanni, R López-Vacas, ...
Cancer research 75 (11), 2243-2253, 2015
582015
Functional proteomics outlines the complexity of breast cancer molecular subtypes
A Gámez-Pozo, L Trilla-Fuertes, J Berges-Soria, N Selevsek, ...
Scientific Reports 7 (1), 10100, 2017
532017
Problemas resueltos de iniciación al análisis estadístico de datos
HN Veguillas, JM Arevalillo
Editorial UNED, 2011
242011
Identification of immune correlates of protection in Shigella infection by application of machine learning
JM Arevalillo, MB Sztein, KL Kotloff, MM Levine, JK Simon
Journal of biomedical informatics 74, 1-9, 2017
232017
Molecular characterization of breast cancer cell response to metabolic drugs
L Trilla-Fuertes, A Gámez-Pozo, JM Arevalillo, M Díaz-Almirón, ...
Oncotarget 9 (11), 9645, 2018
222018
Urothelial cancer proteomics provides both prognostic and functional information
G de Velasco, L Trilla-Fuertes, A Gamez-Pozo, M Urbanowicz, ...
Scientific Reports 7 (1), 15819, 2017
212017
Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities
L Trilla-Fuertes, A Gámez-Pozo, G Prado-Vázquez, A Zapater-Moros, ...
BMC cancer 19, 1-9, 2019
192019
A machine learning approach to assess price sensitivity with application to automobile loan segmentation
JM Arevalillo
Applied Soft Computing 76, 390-399, 2019
182019
A study of the effect of kurtosis on discriminant analysis under elliptical populations
JM Arevalillo, H Navarro
Journal of Multivariate Analysis 107, 53-63, 2012
182012
A note on the direction maximizing skewness in multivariate skew-t vectors
JM Arevalillo, H Navarro
Statistics & Probability Letters 96, 328-332, 2015
162015
Exploring correlations in gene expression microarray data for maximum predictive–minimum redundancy biomarker selection and classification
JM Arevalillo, H Navarro
Computers in Biology and Medicine 43 (10), 1437-1443, 2013
162013
Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer
L Trilla-Fuertes, A Gámez-Pozo, E López-Camacho, G Prado-Vázquez, ...
BMC cancer 20, 1-11, 2020
142020
A stochastic ordering based on the canonical transformation of skew-normal vectors
JM Arevalillo, H Navarro
Test 28, 475-498, 2019
142019
A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis
JM Arevalillo, H Navarro
BMC bioinformatics 12, 1-17, 2011
142011
Skewness-Kurtosis Model-Based Projection Pursuit with Application to Summarizing Gene Expression Data
JM Arevalillo, H Navarro
Mathematics 9 (9), 954, 2021
122021
Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer
A Zapater-Moros, A Gámez-Pozo, G Prado-Vázquez, L Trilla-Fuertes, ...
Oncotarget 9 (45), 27586, 2018
102018
Using random forests to uncover bivariate interactions in high dimensional small data sets
JM Arevalillo, H Navarro
Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in …, 2009
72009
Ensemble learning from model based trees with application to differential price sensitivity assessment
JM Arevalillo
Information Sciences 557, 16-33, 2021
62021
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Articles 1–20