Author

Gabriel Mesquita Zangirolani

Oregon Health & Science UniversityORCID 0009-0005-7081-0185Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Christopher L. CorlessiD· 1 shared Connor Mitchell Frankston· 1 shared Furkan OzmeniD· 1 shared Gordon Brent MillsiD· 1 shared Jinho LeeiD· 1 shared Kangjin JeongiD· 1 shared Kevin Yang ZhangiD· 1 shared Matthew D. WoodiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperPathology

Christopher L. CorlessORCID

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2 papers

Recent·Most cited

PathologyBrain PathologyPeer-reviewedMar 18, 2026

Clinical and molecular features of primary gliosarcoma with digital spatial whole-transcriptome analysis of glial and mesenchymal components

Matthew D. Wood, Gabriel Mesquita Zangirolani, Jinho Lee…·Christopher L. Corless

This study analyzes gliosarcoma using digital spatial transcriptomics to compare glial and mesenchymal components with glioblastoma, identifying genetic and transcriptomic differences.

DOI 10.1111/bpa.70091

humanbulk RNA-seq

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Cancer BiologyNAR CancerPeer-reviewedJul 29, 2025

Automated Machine Learning Profiling with MAP-HR for Quantifying Homologous Recombination Foci in Patient Samples

Tugba Y. Ozmen, Matthew J. Rames, Gabriel Mesquita Zangirolani…·Gordon Brent Mills

The paper introduces MAP-HR, a machine learning platform for quantifying homologous recombination foci in patient samples to assess HR deficiency and guide therapy.

3 citations

humanimaging

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