Author

Ari Pakman

Columbia UniversityORCID 0000-0001-8047-2240Unclaimed 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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Approach:Bayesian inference· 1 Assay:imaging· 1

Frequent Co-Authors

Andras PatakiiD· 1 shared Hervé Marie-NellyiD· 1 shared Mariano I. GabittoiD· 1 shared Michael I. JordaniD· 1 shared Xavier DarzacqiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Andras PatakiORCID

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1 paper

Recent·Most cited

A Bayesian nonparametric approach to super-resolution single-molecule localization

Mariano I. Gabitto, Hervé Marie-Nelly, Ari Pakman, Andras Pataki, Xavier Darzacq, Michael I. Jordan

This paper introduces a Bayesian nonparametric framework for identifying individual molecules in super-resolution microscopy time series, using ground-truth data to assess performance.

The Annals of Applied Statistics · Dec 1, 2021Peer-reviewedBioinformatics