Author

José G. Tamez‐Peña

Tecnológico de MonterreyORCID 0000-0003-1361-5162Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Víctor TreviñoiD· 2 shared Antonio Martínez‐TorteyaiD· 1 shared Edgar E. VallejoiD· 1 shared Emmanuel Martínez-LedesmaiD· 1 shared Israel Alanis· 1 shared Javier de Velasco OrioliD· 1 shared Jorge Orozco-SancheziD· 1 shared Joshua Farber· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Víctor TreviñoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 11, 2019

Exploring Survival Models Associated with MCI to AD Conversion: A Machine Learning Approach

Jorge Orozco-Sanchez, Víctor Treviño, Emmanuel Martínez-Ledesma…·José G. Tamez‐Peña

This paper uses machine learning to build and analyze MRI-based survival models predicting conversion from mild cognitive impairment to Alzheimer's disease.

10 citations

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 13, 2019

Benchmarking machine learning models for the analysis of genetic data using FRESA.CAD Binary Classification Benchmarking

Javier de Velasco Oriol, Antonio Martínez‐Torteya, Víctor Treviño…·José G. Tamez‐Peña

The paper benchmarks machine learning models for genetic data analysis using FRESA.CAD Binary Classification Benchmarking, showing quantitative and qualitative advantages over existing tools.

3 citations

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky