Author

Eric Weine

Dana-Farber Cancer InstituteORCID 0009-0001-7809-1649Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:scRNA-seq· 2 Research Focus:software / tool· 2 Research Focus:dimensionality reduction· 1 Organism:Drosophila· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Arbel HarpakiD· 1 shared Jonathan S. WeissmaniD· 1 shared Luke W. KoblaniD· 1 shared Matthew G. JonesiD· 1 shared Matthew StephensiD· 1 shared Nir YosefiD· 1 shared Peter S. CarbonettoiD· 1 shared Rebecca Kathryn KnowltoniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperGenomics

Arbel HarpakORCID

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3 papers

Recent·Most cited

Pycea: a scverse toolkit for single-cell lineage tracing analysis

William N. Colgan, Eric Weine, Luke W. Koblan, Matthew G. Jones, Jonathan S. Weissman, Nir Yosef

Pycea provides a toolkit for analyzing single-cell lineage tracing data, integrating with Scanpy and offering visualization and statistical methods for lineage trees.

bioRxiv · Nov 1, 2026 · PreprintBioinformatics

Tradeoffs in Modeling Context Dependency in Complex Trait Genetics

Eric Weine, Samuel Pattillo Smith, Rebecca Kathryn Knowlton, Arbel Harpak

The paper evaluates tradeoffs between bias and variance in Gene-by-Environment interaction models for complex traits, showing that polygenic models can improve estimation and prediction.

eLife · Mar 20, 2025Peer-reviewedGenomics

Accelerated dimensionality reduction of single -cell RNA sequencing data with fastglmpca

Eric Weine, Peter S. Carbonetto, Matthew Stephens

The paper introduces an efficient algorithm for dimensionality reduction of single-cell RNA-seq data, showing it outperforms existing methods in speed and quality.

Bioinformatics · Aug 1, 2024Peer-reviewedBioinformatics