Author

Mariam Lkandushi

Technical University of MunichORCID 0009-0008-8678-7313Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

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Amir Ali MoinfariD· 1 shared Daniele ScarcellaiD· 1 shared Fabian Joachim TheisiD· 1 shared Jan Paul EngelmanniD· 1 shared Lisa SikkemaiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBioinformatics

Amir Ali MoinfarORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 23, 2025

Automated evaluation of single-cell reference atlas mappings enables the identification of disease-associated cell states

Lisa Sikkema, Mariam Lkandushi, Daniele Scarcella…·Fabian Joachim Theis

This paper introduces MapQC, a method to evaluate the quality of mapping query datasets to reference atlases, showing it improves the detection of disease-specific cell states.

2 citations

humanscRNA-seq

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