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ZENODO
Software . 2021
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Software . 2021
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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SpatialDWLS: accurate deconvolution of spatial transcriptomic data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Apr 2021Publisher:Zenodo
Authors: Dong, Rui; Yuan, Guo-Cheng;

doi: 10.5281/zenodo.4706208 , 10.5281/zenodo.4706209

SpatialDWLS: accurate deconvolution of spatial transcriptomic data

Abstract

SpatialDWLS is a tool to quantitatively estimate the cell-type composition at each spatial location of spatial transcriptomic datasets. It is implemented in Giotto and the codes are for simulated seqFISH+, Visium brain and human heart spatial transcriptomic datasets.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
Average
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48
34