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[Dataset] Advanced Single Cell Analysis tutorial - Complete downstream analysis across conditions

Data used for an example of a complete downstream analysis with comparisons across conditions
Authors: Soraggi, Samuele; Andersen, Stig Uggerhøj; Fechete, Lavinia Ioana; Tedeschi, Francesca; Frank, Manuel;

[Dataset] Advanced Single Cell Analysis tutorial - Complete downstream analysis across conditions

Abstract

Datasets and metadata used for the full streamline analysis of plant data under different conditions of infection. The tutorial is an example of analysis which can be useful in multiple scenario where comparisons are needed (healthy and sick patients, for example). You can find the tutorial at our website https://hds-sandbox.github.io/AdvancedSingleCell Usage notes: all files are ready to use, except for control1.tar.gz which is a folder that needs to be decompressed

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Keywords

Danish Health Data Science Sandbox, single cell 10X, single cell clustering, single cell RNA sequencing, gene networks, single cell tutorial, single cell in plants, single cell analysis, differential expression

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citations
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!
0
Average
Average
Average
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