Author

Ana Luisa Perdigoto

Yale UniversityORCID 0000-0002-0348-9329Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander TongiD· 1 shared Antonio J. GiráldeziD· 1 shared Daniel B. BurkhardtiD· 1 shared David van DijkiD· 1 shared Guy WolfiD· 1 shared Jay S. StanleyiD· 1 shared Kevan C. HeroldiD· 1 shared Scott GiganteiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Alexander TongORCID

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1 paper

Recent·Most cited

Quantifying the effect of experimental perturbations at single-cell resolution

Daniel B. Burkhardt, Jay S. Stanley, Alexander Tong, Ana Luisa Perdigoto, Scott Gigante, Kevan C. Herold, Guy Wolf, Antonio J. Giráldez, David van Dijk, Smita Krishnaswamy

This paper introduces a method to quantify perturbation effects at single-cell resolution using manifold-based likelihood estimation and vertex frequency clustering, achieving higher accuracy than existing methods.

Nature Biotechnology · Feb 8, 2021Peer-reviewedBioinformatics