Author

Victor Klebanoff

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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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1

Activity by Year

2023-2026 · peak 1/yr

2 papers

Recent·Most cited

BioinformaticsF1000ResearchPeer-reviewedJul 30, 2026

Finding stable clusterings of single-cell RNA-seq data

Victor Klebanoff

The paper introduces a method to assess clustering stability in single-cell RNA-seq data by comparing clusterings of subsets with the full dataset, finding that some clusterings are stable even with large datasets.

DOI 10.12688/f1000research.184395.1

scRNA-seqstatistical model

BioinformaticsbioRxivPreprintDec 21, 2023

Normalization and gene selection for single-cell RNA-seq UMI data using sampling-adjusted sums of squares of Pearson residuals with a Poisson model

Victor Klebanoff

The paper introduces a sampling-adjusted score for gene selection in single-cell RNA-seq data using Poisson residuals, showing improved stability compared to existing methods.

1 citation

scRNA-seqstatistical model