Author

Dorota Kamińska

University of California, Los AngelesORCID 0000-0003-1829-576XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Asha KariD· 3 shared Jussi PihlajamäkiiD· 3 shared Marcus AlvareziD· 3 shared Päivi PajukantaiD· 3 shared Seung Hyuk LeeiD· 3 shared Ville MännistöiD· 3 shared Anne JuutiiD· 2 shared Kirsi Hannele PietiläineniD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Asha KarORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 21, 2025

Integrated ambient modeling and genetic demultiplexing of single-cell RNA+ATAC multiome experiments with Ambimux

Marcus Alvarez, Terence Li, Seung Hyuk Lee…·Päivi Pajukanta

The paper introduces ambimux, a method to estimate and demultiplex ambient molecule contamination in single-cell RNA+ATAC multiome data, improving the detection of biologically meaningful signals.

2 citations

humanscRNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintJul 11, 2025

Longitudinal adipose tissue single cell transcriptomics reveals genes and variants regulating weight loss after bariatric surgery

Seung Hyuk Lee, Asha Kar, Sini Heinonen…·Päivi Pajukanta

This study uses longitudinal single-cell adipose transcriptomics to identify genes and variants associated with weight loss after bariatric surgery and shows that BMI polygenic risk scores predict weight loss outcomes.

DOI 10.1101/2025.07.11.25331390

humanscRNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintNov 22, 2024

Integration of single cell omics with biobank data discovers trans effects of SREBF1 abdominal obesity risk variants on adipocyte expression of more than 100 genes

Mihir G. Sukhatme, Asha Kar, Uma Thanigai Arasu…·Päivi Pajukanta

The paper integrates single-cell omics with biobank data to show SREBF1 risk variants affect adipocyte gene expression in trans, impacting abdominal obesity.

3 citations

humanscRNA-seq

𝕏 PostBluesky