Author

Marina Meilă

University of WashingtonORCID 0000-0002-3989-8853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Chenab· 1 shared Dana MastrovitoiD· 1 shared Hongkui ZengiD· 1 shared Jennifer D. WhiteselliD· 1 shared Julie A. HarrisiD· 1 shared Karla E. HirokawaiD· 1 shared Kris SankaraniD· 1 shared Samson KoelleiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Chenab

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2 papers

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 1, 2026

Interactive Visualization of Metric Distortion in Nonlinear Data Embeddings using the distortions Package

Kris Sankaran, Shuzhen Zhang, Chenab, Marina Meilă

The paper introduces a software package to visualize distortion in nonlinear dimensionality reduction methods, showing how it can flag issues and aid in method selection.

1 citation

experimental assaybenchmarking

NeuroscienceNetwork NeurosciencePeer-reviewedJan 1, 2023

Modeling the cell-type specific mesoscale murine connectome with anterograde tracing experiments

Samson Koelle, Dana Mastrovito, Jennifer D. Whitesell…·Ştefan Mihalaş

This paper fills gaps in cell-class specific connectivity data using a statistical model and kernel learning method, producing a mesoscale mouse brain connectivity matrix.

5 citations

mousespatial transcriptomics