Listar por autor "Andrés Galiana, Enrique Juan de"

A machine learning model for evaluating imported disease screening strategies in immigrant populations

; Boga Riveiro, José Antonio; Andrés Galiana, Enrique Juan de

; Casado, L.; Fernández, J.; Menéndez, Candela; García Pérez, Alicia; Moran Suárez, Noelia; Martinez Sela, M.; Vázquez Valdés, Fernando

; Rodríguez Guardado, Azucena Carmen

(2021)

Addressing noise and estimating uncertainty in biomedical data through the exploration of chemical space

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Fernández Brillet, L.; Cernea Corbeanu, Ana

; Kloczkowski, A. (2022)

Adherence to a mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish cohort of middle-age and older people

Gutiérrez Díaz, Isabel; Fernández Navarro, Tania; Salazar Garzo, Nuria; Bartolome Sualdea, B.; Moreno Arribas, M. V.; Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; González de los Reyes-Gavilán, Clara; Gueimonde Fernández, Miguel; González Rodríguez, Sonia

(2017)

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Luaces Rodríguez, Óscar

; Coz Velasco, Juan José del

; Huergo Zapico, Leticia

; Acebes Huerta, Andrea

; González Rodríguez, Segundo

; González Rodríguez, Ana Pilar

(Elsevier, 2016-04)

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches

Andrés Galiana, Enrique Juan de

; Bea, G.; Fernández Martínez, Juan Luis

; Saligan, L. N. (2019)

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Álvarez Machancoses, Óscar.; Bea, Guillermina; Galmarini, C. M.; Kloczkowski, A. (2022)

Automatic Classification of Cell Patterns for Triple Negative Breast Cancer Identification

Fernández Martínez, Juan Luis

; Cernea Corbeanu, Ana

; Andrés Galiana, Enrique Juan de

(International Academy, Research, and Industry Association, 2014)

Biomedical robots. Application to transnational medicine

Andrés Galiana, Enrique Juan de

(2016-07-22)

Comparison of Different Sampling Algorithms for Phenotype Prediction

Cernea Corbeanu, Ana

; Fernández Martínez, Juan Luis

; Andrés Galiana, Enrique Juan de

; Fernández Ovies, Francisco Javier

; Fernández Muñiz, María Zulima

; Álvarez Machancoses, Óscar; Saligan, L.; Sonis, S. T. (2018)

Deep neural networks for phenotype prediction in rare diseases inclusion body myositis: a case study

Andrés Galiana, Enrique Juan de

; Fernández Ovies, Francisco Javier

; Cernea Corbeanu, Ana

; Fernández Martínez, Juan Luis

; Kloczkowski, Andrzej (2020)

Desarrollo de una infraestructura de laboratorios informáticos multiplataforma y de bajo coste de recursos para la docencia de cursos de administración de sistemas y seguridad informática

Redondo López, José Manuel

; Andrés Galiana, Enrique Juan de

(Universidad de Oviedo, Servicio de Publicaciones, 2023)

Design of Biomedical Robots for Phenotype Prediction Problems

Andrés Galiana, Enrique Juan de

; Fernández Martínez, Juan Luis

; Sonis, Stephen T. (2016)

Design of biomedical robots for the analysis of cancer, neurodegenerative and rare diseases

Fernández Martínez, Juan Luis

; Andrés Galiana, Enrique Juan de

; Sonis, Stephen T. (2016)

Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks

Fernández Ovies, Francisco Javier

; Santiago Alférez-Baquero, E.; Andrés Galiana, Enrique Juan de

; Cernea Corbeanu, Ana

; Fernández Muñiz, María Zulima

; Fernández Martínez, Juan Luis

(2019)

Finext 2019: looking on the bright side by uncovering the weaknesses

Cebrián Márquez, Gabriel

; Andrés Galiana, Enrique Juan de

; Cal Marín, Enrique Antonio de la

; Mencía Cascallana, Raúl

; Remeseiro López, Beatriz

; Rico Pachón, Noelia

; Villar Flecha, José Ramón

; Zurita Hevia, Rubén

(2019)

Genomic data integration in chronic lymphocytic leukemia

Fernández Martínez, Juan Luis

; Andrés Galiana, Enrique Juan de

; Sonis, Stephen T. (2017-02)

The Genomic Medicine Game

Tran, Elvis; Andrés Galiana, Enrique Juan de

; Benítez, Sonia; Martín Sánchez, Fernando; López Campos, Guillermo H. (2016)

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm

Reinbolt, R. E.; Sonis, Stephen T.; Timmers, C. D.; Fernández Martínez, Juan Luis

; Cernea Corbeanu, Ana

; Andrés Galiana, Enrique Juan de

; Hashemi, S.; Miller, K.; Pilarski, R.; Lustberg, M. B. (2017)

How to deal with uncertainty in inverse and classification problems

Fernández Martínez, Juan Luis

; Fernández Muñiz, María Zulima

; Cernea Corbeanu, Ana

; Pallero, J. L. G.; Andrés Galiana, Enrique Juan de

; Pedruelo González, Luis Mariano

; Álvarez, Óscar; Fernández Ovies, Francisco Javier

(2020)

Identification of a snp cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using gwas data derived from a large cooperative group trial

Lustberg, M.; Wu, X.; Fernández Martínez, Juan Luis

; Andrés Galiana, Enrique Juan de

; Philips, S.; Leibowitz, J.; Schneider, B.; Sonis, S. (2023)

Listar por autor "Andrés Galiana, Enrique Juan de"

A machine learning model for evaluating imported disease screening strategies in immigrant populations ﻿

Addressing noise and estimating uncertainty in biomedical data through the exploration of chemical space ﻿

Adherence to a mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish cohort of middle-age and older people ﻿

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems ﻿

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches ﻿

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19 ﻿

Automatic Classification of Cell Patterns for Triple Negative Breast Cancer Identification ﻿

Biomedical robots. Application to transnational medicine ﻿

Comparison of Different Sampling Algorithms for Phenotype Prediction ﻿

Deep neural networks for phenotype prediction in rare diseases inclusion body myositis: a case study ﻿

Desarrollo de una infraestructura de laboratorios informáticos multiplataforma y de bajo coste de recursos para la docencia de cursos de administración de sistemas y seguridad informática ﻿

Design of Biomedical Robots for Phenotype Prediction Problems ﻿

Design of biomedical robots for the analysis of cancer, neurodegenerative and rare diseases ﻿

Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks ﻿

Finext 2019: looking on the bright side by uncovering the weaknesses ﻿

Genomic data integration in chronic lymphocytic leukemia ﻿

The Genomic Medicine Game ﻿

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm ﻿

How to deal with uncertainty in inverse and classification problems ﻿

Identification of a snp cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using gwas data derived from a large cooperative group trial ﻿

A machine learning model for evaluating imported disease screening strategies in immigrant populations

Addressing noise and estimating uncertainty in biomedical data through the exploration of chemical space

Adherence to a mediterranean diet influences the fecal metabolic profile of microbial-derived phenolics in a Spanish cohort of middle-age and older people

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19

Automatic Classification of Cell Patterns for Triple Negative Breast Cancer Identification

Biomedical robots. Application to transnational medicine

Comparison of Different Sampling Algorithms for Phenotype Prediction

Deep neural networks for phenotype prediction in rare diseases inclusion body myositis: a case study

Desarrollo de una infraestructura de laboratorios informáticos multiplataforma y de bajo coste de recursos para la docencia de cursos de administración de sistemas y seguridad informática

Design of Biomedical Robots for Phenotype Prediction Problems

Design of biomedical robots for the analysis of cancer, neurodegenerative and rare diseases

Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks

Finext 2019: looking on the bright side by uncovering the weaknesses

Genomic data integration in chronic lymphocytic leukemia

The Genomic Medicine Game

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm

How to deal with uncertainty in inverse and classification problems

Identification of a snp cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using gwas data derived from a large cooperative group trial