Author

Ulises Juárez

Instituto Nacional de PediatriaORCID 0000-0001-8355-5818Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Alfredo RodrígueziD· 1 shared Anet Rivera-Osorio· 1 shared Bibiana T. Barcenas Martínez· 1 shared David SosaiD· 1 shared Hugo TovariD· 1 shared Iram García Quezada· 1 shared Luis Angel Flores-MejíaiD· 1 shared Pablo SiliceoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Alfredo RodríguezORCID

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1 paper

Recent·Most cited

Cancer BiologyPLoS ONEPeer-reviewedJan 20, 2026

Prediction of myeloid malignant cells in Fanconi anemia using machine learning

Luis Angel Flores-Mejía, Pablo Siliceo, Ulises Juárez…·Alfredo Rodríguez

This study uses machine learning to identify myeloid malignant transcriptional profiles in FA patients' bone marrow using scRNAseq data, achieving high sensitivity and specificity for MDS and AML detection.

3 citations

humanscRNA-seq

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