Summary
Publication

Title: Cell type-specific inference of differential expression in spatial transcriptomics

Authors: Dylan M Cable, Evan Murray, Vignesh Shanmugam, Simon Zhang, Luli S Zou, Michael Diao, Haiqi Chen, Evan Z Macosko, Rafael A Irizarry, Fei Chen

Date published: 9/1/22

Date added: 12/1/23

Journal: Nature Methods

DOI: 10.1038/s41592-022-01575-3

Protocol: Slide-seqV2

Data source: SCP1663

Study design

Species: mouse

Number of samples: 32

Region: Cerebellum, hypothalamus

Figure: C-SIDE learns cell type-specific DE from spatial transcriptomics data.

Spot-level data

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Total spots in the plot: 582

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Gene expression

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Spatially variable genes

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Differential expression (DE) / Gene set enrichment

Sample:

Note: The MAST package were used to calculate DEGs on normalized gene expression data (parameter: log2FC > 0.25, adj.p-value < 0.05).

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