Author

Ana Marta Sequeira

Leiden University Medical CenterORCID 0000-0001-9134-5255Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Marieke E. IjsselsteijniD· 2 shared Miguel RochaiD· 2 shared Noel F.C.C. de MirandaiD· 2 shared Jessica P RoelandsiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Marieke E. IjsselsteijnORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

GRIDGENE: Guided Region Identification based on Density of GENEs - a transcript density-based approach to characterize tissues by spatial transcriptomics

Ana Marta Sequeira, Marieke E. Ijsselsteijn, M Rocha…·Noel F.C.C. de Miranda

GRIDGENE identifies tissue compartments using transcript density in spatial transcriptomics data, enabling analysis without cell segmentation.

2 citations

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedOct 31, 2024

PENGUIN: A rapid and efficient image preprocessing tool for multiplexed spatial proteomics

Ana Marta Sequeira, Marieke E. Ijsselsteijn, Miguel Rocha, Noel F.C.C. de Miranda

PENGUIN is a preprocessing tool for multiplexed spatial proteomics that normalizes signal-to-noise ratios and reduces noise without manual annotation or machine learning training.

15 citations

imagingexperimental assay

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