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tpSVG

Bioc current

Thin plate models to detect spatially variable genes

v1.8.0 · software · MIT + file LICENSE
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Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

The goal of `tpSVG` is to detect and visualize spatial variation in the gene expression for spatially resolved transcriptomics data analysis. Specifically, `tpSVG` introduces a family of count-based models, with generalizable parametric assumptions such as Poisson distribution or negative binomial distribution. In addition, comparing to currently available count-based model for spatially resolved data analysis, the `tpSVG` models improves computational time, and hence greatly improves the applicability of count-based models in SRT data analysis.

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Topics

Software › Technology › Spatial
Software › ResearchField › Transcriptomics
Software › AssayDomain › GeneExpression
Software
Software › StatisticalMethod
Software › StatisticalMethod › DimensionReduction
Software › StatisticalMethod › Regression
Software › WorkflowStep › Preprocessing

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