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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Single-cell RNA-seq count data used in differential expression benchmark study

Research datakeyboard_double_arrow_right Dataset 20 Mar 2023Publisher:Zenodo
Authors: Hafemeister, Christoph; Halbritter, Florian;

doi: 10.5281/zenodo.7751830 , 10.5281/zenodo.7751831

Single-cell RNA-seq count data used in differential expression benchmark study

Abstract

Count matrices and meta data tables from simulated and real world immune cell single-cell RNA-seq experiments. All files are in Rds format and can be read by R using "readRDS()". 10k_*: These files contain a filtered version of the 10k Human PBMCs, 3' v3.1 data published by 10x Genomics blueprint_data.Rds: This file contains the bulk RNA-seq data downloaded from BLUEPRINT blueprint_immune_comparisons.Rds: Results from running three bulk RNA-seq differential expression methods sim_data*: These files contain the count matrices and meta data tables for the simulated data. Every file contains a list of 13 replicates.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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