Author

Amey P. Pasarkar

Columbia University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Itsik Pe’eriD· 2 shared Tyler A. Joseph· 1 shared Tyler JosephiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Itsik Pe’erORCID

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2 papers

Recent·Most cited

Directional Gaussian Mixture Models of the gut microbiome elucidate microbial spatial structure

Amey P. Pasarkar, Tyler A. Joseph, Itsik Pe’er

This paper introduces a spatial Gaussian Mixture Model to recover global microbial spatial arrangements from MaPS-seq data, showing improved clustering and capturing known and novel spatial behaviors in the mouse gut microbiome.

mSystems · Nov 9, 2021Peer-reviewedBioinformatics

Efficient and accurate inference of microbial trajectories from longitudinal count data

Tyler Joseph, Amey P. Pasarkar, Itsik Pe’er

LUMINATE infers microbial trajectories from longitudinal count data, offering faster and more accurate results than existing methods while distinguishing biological and technical zeros.

bioRxiv · Jan 10, 2020 · PreprintBioinformatics