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Published September 4, 2022 | Version 1.1.2
Journal article Open

Identification of spatially variable genes with graph cuts

Authors/Creators

  • 1. Bio-med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences

Description

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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