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Javier De Velasco Oriol
Javier De Velasco Oriol
ANYbotics AG
Verified email at itesm.mx
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Cited by
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Year
The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up
RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ...
arXiv preprint arXiv:2002.03419, 2020
502020
Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
JDV Oriol, EE Vallejo, K Estrada, JGT Peña, ...
BMC bioinformatics 20, 2019
402019
Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
J De Velasco Oriol, EE Vallejo, K Estrada, JG Taméz Peña, ...
BMC bioinformatics 20, 1-17, 2019
392019
Benchmarking machine learning models for the analysis of genetic data using FRESA. CAD Binary Classification Benchmarking
J de Velasco Oriol, A Martinez-Torteya, V Trevino, I Alanis, EE Vallejo, ...
bioRxiv, 733675, 2019
22019
Predicting late-onset Alzheimer’s disease from genomic data using deep neural networks
J de Velasco Oriol, EE Vallejo, K Estrada, ...
bioRxiv, 629402, 2019
22019
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