Author

Sareh AmeriFar

Goethe University Frankfurt

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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Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Florian BuettneriD· 2 shared Arber QokuiD· 1 shared Kevin de AzevedoiD· 1 shared Sebastian WolfiD· 1 shared Thomas OellerichiD· 1 shared Tyra Stickel· 1 shared Zahra Moslehi· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Florian BuettnerORCID

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2 papers

Recent·Most cited

PACMON: Pathway-guided Multi-Omics data integration for interpreting large-scale perturbation screens

Arber Qoku, Tyra Stickel, Sareh AmeriFar, Thomas Oellerich, Sebastian Wolf, Florian Buettner

PACMON integrates multi-omics data from perturbation screens to infer pathway-level responses to experimental perturbations, achieving high accuracy and scalability.

bioRxiv · Mar 24, 2026 · PreprintBioinformatics

Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian Processes

Zahra Moslehi, Sareh AmeriFar, Kevin de Azevedo, Florian Buettner

This paper introduces a model that combines expressive representation learning with interpretable Gaussian processes to analyze single-cell multi-omics data, revealing relationships between cell clusters and marker genes.

Nucleic Acids Research · Jul 19, 2025Peer-reviewedBioinformatics