Author

Slavica Dimitrieva

Novartis (Switzerland)ORCID 0000-0002-0043-2677Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:batch correction / integration· 2 Research Focus:benchmarking· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Audrey KauffmanniD· 2 shared Gang LiiD· 2 shared Alexandre P. A. TheocharidesiD· 1 shared Annick WaldtiD· 1 shared Antoine de WeckiD· 1 shared Artur SzałataiD· 1 shared Caibin ShengiD· 1 shared Chintan ParmariD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Audrey KauffmannORCID

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3 papers

Recent·Most cited

BioinformaticsScience AdvancesPeer-reviewedJan 17, 2025

Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts and clinical tumors using deep learning

Slavica Dimitrieva, Rens Janssens, Gang Li…·Eric Y. Durand

MOBER integrates transcriptomic data from cancer cell lines, xenografts, and clinical tumors using deep learning to remove batch effects and improve clinical translatability.

5 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJan 14, 2022

Probabilistic modeling of ambient noise in single-cell omics data

Caibin Sheng, Rui Lopes, Gang Li…·Antoine de Weck

The paper develops scAR, a machine learning model to remove ambient noise from single-cell omics data across multiple technologies, showing high denoising accuracy.

34 citations

scRNA-seqCITE-seq

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Systems BiologybioRxivPreprintJul 17, 2018

Ultra-sensitive proteome profiling of FACS-isolated cell populations by data-independent acquisition-MS: Application to human hematopoietic stem and progenitor cells

Sabine Amon, Fabienne Meier‐Abt, Ludovic C. J. Gillet…·Ruedi H. Aebersold

The paper describes an ultra-sensitive mass spectrometry method for proteomic analysis of FACS-isolated human hematopoietic stem and progenitor cells, revealing unique proteomic signatures and stemness-related biochemical processes.

2 citations

humanproteomics

𝕏 PostBluesky