P. Maín

发表

Dealing with uncertainty in Gaussian Bayesian networks from a regression perspective

M. A. Gómez–Villegas, P. Maín, H. Navarro, 2010 .

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

P. Maín, H. Navarro, E. Espinosa, 2020, BMC Cancer.

Probabilistic graphical models and computational metabolic models applied to the analysis of metabolomics data in breast cancer

P. Maín, H. Navarro, E. Espinosa, 2018 .

Sensitivity Analysis in Gaussian Bayesian Networks Using a Divergence Measure

M. A. Gómez–Villegas, P. Maín, R. Susi, 2007 .

Bayesian networks established functional differences between breast cancer subtypes

P. Maín, H. Navarro, E. Espinosa, 2018, bioRxiv.

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

P. Maín, H. Navarro, E. Espinosa, 2019, Scientific Reports.

Asymptotic relationships between posterior probabilities and p-values using the hazard rate

M. A. Gómez–Villegas, P. Maín, H. Navarro, 2004 .

Bayesian Estimation Sensitivity Analysis in Gaussian Bayesian Networks Using a DivergenceMeasure

M. A. Gómez–Villegas, P. Maín, R. Susi, 2007 .

Molecular characterization of breast cancer cell response to metabolic drugs

A. Borobia, P. Maín, H. Navarro, 2017, bioRxiv.

Combined Label-Free Quantitative Proteomics and microRNA Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications.

P. Maín, H. Navarro, C. Castañeda, 2015, Cancer research.

Novel Molecular Classification of Muscle-Invasive Bladder Cancer Opens New Treatment Opportunities

P. Maín, H. Navarro, E. Espinosa, 2018, bioRxiv.

Sensitivity to hyperprior parameters in Gaussian Bayesian networks

Hilario Navarro, Miguel Ángel Gómez-Villegas, Paloma Main, 2014, J. Multivar. Anal..

The Effect of Non-normality in the Power Exponential Distributions

Hilario Navarro, Paloma Main, Miguel A. Gómez-Villegas, 2011 .

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

P. Maín, H. Navarro, E. Espinosa, 2017, bioRxiv.

Functional proteomics outlines the complexity of breast cancer molecular subtypes

P. Maín, H. Navarro, E. Espinosa, 2017, Scientific Reports.

Sensitivity to evidence in Gaussian Bayesian networks using mutual information

Paloma Main, Miguel Ángel Gómez-Villegas, Paola Viviani, 2014, Inf. Sci..

Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions

Paloma Main, Hilario Navarro, Miguel Ángel Gómez-Villegas, 2013, Appl. Math. Comput..

Conditional Specification with Exponential Power Distributions

P. Maín, H. Navarro, 2010 .

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

P. Maín, H. Navarro, E. Espinosa, 2019, BMC Cancer.

Functional proteomics outlines the complexity of breast cancer molecular subtypes

Jonas Grossmann, Hilario Navarro, Pilar Zamora, 2017, Scientific Reports.

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

P. Maín, H. Navarro, E. Espinosa, 2019, Scientific Reports.

A SUITABLE BAYESIAN APPROACH IN TESTING POINT NULL HYPOTHESIS: SOME EXAMPLES REVISITED

P. Maín, M. A. Gómez-Villegas, L. Sanz, 2002 .

A Bayesian analysis for the multivariate point null testing problem

P. Maín, Luis Sanz, Miguel A. Gómez–Villegas, 2009 .

Probabilistic Graphical Models Relate Immune Status with Response to Neoadjuvant Chemo-Therapy in Breast Cancer

P. Maín, H. Navarro, E. Espinosa, 2017, bioRxiv.

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

P. Maín, H. Navarro, E. Espinosa, 2020, BMC Cancer.

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

Hilario Navarro, Enrique Espinosa, Angelo Gámez-Pozo, 2019, BMC Cancer.

Asymptotic behaviour of reliability functions

P. Maín, 1988 .

The effect of block parameter perturbations in Gaussian Bayesian networks: Sensitivity and robustness

Paloma Main, Miguel Ángel Gómez-Villegas, Rosario Susi, 2013, Inf. Sci..

Evaluating the difference between graph structures in Gaussian Bayesian networks

Hilario Navarro, Miguel Ángel Gómez-Villegas, Paloma Main, 2011, Expert Syst. Appl..

Sensitivity analysis of extreme inaccuracies in Gaussian Bayesian Networks

Miguel Ángel Gómez-Villegas, Paloma Main, Rosario Susi, 2006, Probabilistic Graphical Models.

Molecular and Cellular Pathobiology Combined Label-free Quantitative Proteomics and Microrna Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications

P. Maín, H. Navarro, C. Castañeda, 2022 .