Author

Sara Frías

Instituto Nacional de PediatriaORCID 0000-0002-3097-6368Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam Nelson· 1 shared Agata SmogorzewskaiD· 1 shared Aimee L. DavidsoniD· 1 shared Alexander J.M. DingemansiD· 1 shared Alfredo RodrígueziD· 1 shared Amanda B. SpurdleiD· 1 shared Anet Rivera-Osorio· 1 shared Arleen D. AuerbachiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Adam Nelson

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2 papers

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

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMay 25, 2025

Analysis of BRCA1, BRCA2 and PALB2 related Fanconi anemia identifies scope to expand disease phenotypic features and predict breast cancer risk in heterozygotes

Sharon E. Johnatty, Emma Tudini, Michael T. Parsons…·Amanda B. Spurdle

1 citation

humanstatistical model

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