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Rodrigo Bonazzola

Showing results (1-10 of 12) with videos related to

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Nature Machine Intelligence|March 25, 2024
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphologyRodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, et al.
Frontiers in Artificial Intelligence|December 4, 2025
Predicting cardiovascular disease risk using retinal optical coherence tomography imagingCynthia Maldonado-Garcia, Rodrigo Bonazzola, Enzo Ferrante, et al.
Medical Image Analysis|May 30, 2025
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRINicolás Gaggion, Benjamin A Matheson, Yan Xia, et al.
Genetic Epidemiology|April 6, 2019
Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traitsHeather E Wheeler, Sally Ploch, Alvaro N Barbeira, et al.
Genetic Epidemiology|September 23, 2020
Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identificationAlvaro N Barbeira, Owen J Melia, Yanyu Liang, et al.
Genome Biology|September 11, 2020
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expressionYuan He, Surya B Chhetri, Marios Arvanitis, et al.
Nature Communications|May 10, 2018
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statisticsAlvaro N Barbeira, Scott P Dickinson, Rodrigo Bonazzola, et al.
Genome Biology|September 11, 2020
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTExNicole R Gay, Michael Gloudemans, Margaret L Antonio, et al.
Gigascience|February 28, 2026
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant PhenotypingNicolás Gaggion, Noelia A Boccardo, Rodrigo Bonazzola, et al.
Genome Biology|January 27, 2021
Exploiting the GTEx resources to decipher the mechanisms at GWAS lociAlvaro N Barbeira, Rodrigo Bonazzola, Eric R Gamazon, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature Machine Intelligence|March 25, 2024
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphologyRodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, et al.
Frontiers in Artificial Intelligence|December 4, 2025
Predicting cardiovascular disease risk using retinal optical coherence tomography imagingCynthia Maldonado-Garcia, Rodrigo Bonazzola, Enzo Ferrante, et al.
Medical Image Analysis|May 30, 2025
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRINicolás Gaggion, Benjamin A Matheson, Yan Xia, et al.
Genetic Epidemiology|April 6, 2019
Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traitsHeather E Wheeler, Sally Ploch, Alvaro N Barbeira, et al.
Genetic Epidemiology|September 23, 2020
Fine-mapping and QTL tissue-sharing information improves the reliability of causal gene identificationAlvaro N Barbeira, Owen J Melia, Yanyu Liang, et al.
Genome Biology|September 11, 2020
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expressionYuan He, Surya B Chhetri, Marios Arvanitis, et al.
Nature Communications|May 10, 2018
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statisticsAlvaro N Barbeira, Scott P Dickinson, Rodrigo Bonazzola, et al.
Genome Biology|September 11, 2020
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTExNicole R Gay, Michael Gloudemans, Margaret L Antonio, et al.
Gigascience|February 28, 2026
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant PhenotypingNicolás Gaggion, Noelia A Boccardo, Rodrigo Bonazzola, et al.
Genome Biology|January 27, 2021
Exploiting the GTEx resources to decipher the mechanisms at GWAS lociAlvaro N Barbeira, Rodrigo Bonazzola, Eric R Gamazon, et al.
Pageof 2