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ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2022
License: CC BY
Data sources: ZENODO
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Identification of spatially variable genes with graph cuts

descriptionPublicationkeyboard_double_arrow_right Article 04 Sep 2022 English Publisher:Zenodo
Authors: Feng Wanwan;

doi: 10.5281/zenodo.7048976

Identification of spatially variable genes with graph cuts

Abstract

scGCO is a method to identify genes demonstrating position-dependent differential expression patterns, also known as spatially viable genes, using the powerful graph cuts algorithm. ScGCO can analyze spatial transcriptomics data generated by diverse technologies, including but not limited to single-cell RNA-sequencing, or in situ FISH based methods.What's more, scGCO can easy scale to millions of cells.

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Keywords

Spatial Transcriptome, graph cuts

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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.
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influence
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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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