Author

I. Garcia-Quezada

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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

A. R. Osorio· 1 shared A. Rodriguez· 1 shared B. T. B. Martinez· 1 shared D. Sosa· 1 shared H. Tovar· 1 shared L. A. Flores-Mejia· 1 shared P. Siliceo-Portugal· 1 shared S. Frias· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. R. Osorio

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1 paper

Recent·Most cited

Prediction of myeloid malignant cells in Fanconi anemia using machine learning

L. A. Flores-Mejia, P. Siliceo-Portugal, I. Garcia-Quezada, U. J. Figueroa, B. T. B. Martinez, D. Sosa, A. R. Osorio, H. Tovar, S. Frias, A. Rodriguez

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.

bioRxiv · Dec 31, 2023Cancer Biology