Work

Kompot: Differential abundance and gene expression analysis in single-cell data

Year: 2025

Type: software

Abstract: CSR→LIL→CSR layer conversion for faster appending of partial differential expression results same argument order in dry_run_differential_expression and compute_differential_expression bugfix: fdr computation when all p-values are 0 increase testing coverage smaller pypi package

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17281114

Authors: Otto, Dominik J., Arriaga-Gomez, Erica, Thieme, Elana, Yang, Ruijin, Lee, Stanley C., Setty, Manu

Institution: Fred Hutch Cancer Center

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7084749491

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