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scPerturb: harmonized single-cell perturbation data

delete2024-01-26
delete15
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OA
AI
S
Stefan Peidli
T
Tessa D. Green
C
Ciyue Shen
T
Torsten Groß
J
Joseph Min
S
Samuele Garda
B
Bo Yuan
L
Linus J. Schumacher
J
Jake P. Taylor‐King
D
Debora S. Marks
A
Augustin Luna *
N
Nils Blüthgen *
C
Chris Sander *
DOI:10.1038/s41592-023-02144-ydelete
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摘要

摘要

En 中文
Analysis across a growing number of single-cell perturbation datasets is hampered by poor data interoperability. To facilitate development and benchmarking of computational methods, we collect a set of 44 publicly available single-cell perturbation-response datasets with molecular readouts, including transcriptomics, proteomics and epigenomics. We apply uniform quality control pipelines and harmonize feature annotations. The resulting information resource, scPerturb, enables development and testing of computational methods, and facilitates comparison and integration across datasets. We describe energy statistics (E-statistics) for quantification of perturbation effects and significance testing, and demonstrate E-distance as a general distance measure between sets of single-cell expression profiles. We illustrate the application of E-statistics for quantifying similarity and efficacy of perturbations. The perturbation-response datasets and E-statistics computation software are publicly available at scperturb.org. This work provides an information resource for researchers working with single-cell perturbation data and recommendations for experimental design, including optimal cell counts and read depth. scPerturb is an information resource for single-cell perturbation data analysis and comparison.
Keyword:
CHROMATIN ACCESSIBILITY
SEQ
MECHANISMS
CIRCUITS
SCREENS

期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.3K
被引数:
12.7W

机构

B
Berlin Institute of Health
学者数:
3.9W
论文数: 3.0W
被引数: 6.6K
F
Free University of Berlin
学者数:
3.8W
论文数: 3.2W
被引数: 51
C
Charite Universitatsmedizin Berlin
学者数:
1.6W
论文数: 1.3W
被引数: 29
H
Harvard Medical School
学者数:
6.5W
论文数: 4.8W
被引数: 91
H
Humboldt University of Berlin
学者数:
3.2W
论文数: 2.7W
被引数: 47
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