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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

Data necessary to run differential gene expression and cell type deconvolution of bulk-RNA-seq data performed in atherosclerotic human carotid artery samples

Research datakeyboard_double_arrow_right Dataset 04 Nov 2025Publisher:Zenodo
Authors: Peymani, Fatemeh; Technical University of Munich; Helmholtz Zentrum München; Prokisch, Holger; Garger, Daniel;

doi: 10.5281/zenodo.17521879 , 10.5281/zenodo.17521878

Data necessary to run differential gene expression and cell type deconvolution of bulk-RNA-seq data performed in atherosclerotic human carotid artery samples

Abstract

Counts_batch_corrected.rds: Batch corrected bulk-rNA-seq counts GSE159677_filtered_batch_corrected_clustered_annotated.rds: Annotated scRNA-seq dataset downloaded from GEO (GSE159677), used for cell type deconvolution. sample_maifest_with_pat_id_conversion.csv: Dataframe of patient metadata.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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