Author

Brendan F. Miller

Johns Hopkins UniversityORCID 0000-0002-9559-4045Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:deconvolution· 1 Organism:human· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Jean FaniD· 2 shared Lyla AttaiD· 2 shared Arpan SahooiD· 1 shared Clive Henry WasserfalliD· 1 shared Feiyang HuangiD· 1 shared Gohta AiharaiD· 1 shared Maigan BruskoiD· 1 shared Manjari M-G AnantiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Jean FanORCID

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2 papers

Recent·Most cited

Characterizing cell-type spatial relationships across length scales in spatially resolved omics data

Rafael dos Santos Peixoto, Brendan F. Miller, Maigan Brusko, Gohta Aihara, Lyla Atta, Manjari M-G Anant, Mark A. Atkinson, Todd M. Brusko, Clive Henry Wasserfall, Jean Fan

The paper introduces CRAWDAD, a tool for analyzing cell-type spatial relationships across scales in spatially resolved omics data, and demonstrates its application on simulated and real datasets.

Nature Communications · Jan 2, 2025Peer-reviewedBioinformatics

Reference-free cell-type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data

Brendan F. Miller, Feiyang Huang, Lyla Atta, Arpan Sahoo, Jean Fan

This paper introduces STdeconvolve, a reference-free method for cell-type deconvolution of spatially resolved transcriptomics data at multi-cellular pixel resolution, showing effective recovery of cell-type profiles without external references.

Nature Communications · Apr 29, 2022Peer-reviewedBioinformatics