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Victor Treviño

Showing results (1-10 of 25) with videos related to

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Bioinformatics (Oxford, England)|February 11, 2017
VALORATE: fast and accurate log-rank test in balanced and unbalanced comparisons of survival curves and cancer genomicsVictor Treviño, Jose Tamez-Pena
International Journal of Molecular Sciences|October 16, 2024
Systematic Modeling of Risk-Associated Copy Number Alterations in CancerAlejandra Guardado, Raúl Aguirre-Gamboa, Victor Treviño
Scientific Reports|February 28, 2017
Identification of outcome-related driver mutations in cancer using conditional co-occurrence distributionsVictor Treviño, Emmanuel Martínez-Ledesma, José Tamez-Peña
Scientific Reports|July 24, 2015
Identification of a multi-cancer gene expression biomarker for cancer clinical outcomes using a network-based algorithmEmmanuel Martinez-Ledesma, Roeland G W Verhaak, Victor Treviño
Chronobiology International|March 25, 2016
Identification of circadian-related gene expression profiles in entrained breast cancer cell linesMiguel A Gutiérrez-Monreal, Victor Treviño, Jorge E Moreno-Cuevas, et al.
Computational and Mathematical Methods in Medicine|October 28, 2015
Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAIJorge I Galván-Tejada, José M Celaya-Padilla, Victor Treviño, et al.
Biochimica Et Biophysica Acta. Molecular Basis of Disease|May 31, 2020
A systematic review of genes affecting mitochondrial processes in cancerMaricruz Sepulveda-Villegas, Rocio Rojo, Debora Garza-Hernandez, et al.
Biomed Research International|August 5, 2015
Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening MammogramsJosé Celaya-Padilla, Antonio Martinez-Torteya, Juan Rodriguez-Rojas, et al.
Current Alzheimer Research|September 7, 2021
Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture ModelingFahimeh Nezhadmoghadam, Antonio Martinez-Torteya, Victor Treviño, et al.
Biochimica Et Biophysica Acta. Molecular Basis of Disease|December 26, 2016
Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patientsPiotr Popławski, Takayuki Tohge, Joanna Bogusławska, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|February 11, 2017
VALORATE: fast and accurate log-rank test in balanced and unbalanced comparisons of survival curves and cancer genomicsVictor Treviño, Jose Tamez-Pena
International Journal of Molecular Sciences|October 16, 2024
Systematic Modeling of Risk-Associated Copy Number Alterations in CancerAlejandra Guardado, Raúl Aguirre-Gamboa, Victor Treviño
Scientific Reports|February 28, 2017
Identification of outcome-related driver mutations in cancer using conditional co-occurrence distributionsVictor Treviño, Emmanuel Martínez-Ledesma, José Tamez-Peña
Scientific Reports|July 24, 2015
Identification of a multi-cancer gene expression biomarker for cancer clinical outcomes using a network-based algorithmEmmanuel Martinez-Ledesma, Roeland G W Verhaak, Victor Treviño
Chronobiology International|March 25, 2016
Identification of circadian-related gene expression profiles in entrained breast cancer cell linesMiguel A Gutiérrez-Monreal, Victor Treviño, Jorge E Moreno-Cuevas, et al.
Computational and Mathematical Methods in Medicine|October 28, 2015
Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAIJorge I Galván-Tejada, José M Celaya-Padilla, Victor Treviño, et al.
Biochimica Et Biophysica Acta. Molecular Basis of Disease|May 31, 2020
A systematic review of genes affecting mitochondrial processes in cancerMaricruz Sepulveda-Villegas, Rocio Rojo, Debora Garza-Hernandez, et al.
Biomed Research International|August 5, 2015
Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening MammogramsJosé Celaya-Padilla, Antonio Martinez-Torteya, Juan Rodriguez-Rojas, et al.
Current Alzheimer Research|September 7, 2021
Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture ModelingFahimeh Nezhadmoghadam, Antonio Martinez-Torteya, Victor Treviño, et al.
Biochimica Et Biophysica Acta. Molecular Basis of Disease|December 26, 2016
Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patientsPiotr Popławski, Takayuki Tohge, Joanna Bogusławska, et al.
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