Individual skill
bioconductor-voyager
SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. The voyager package implements basic exploratory spatial data analysis (ESDA) methods for SFE. Univariate methods include univariate global spatial ESDA methods such as Moran's I, permutation testing for Moran's I, and correlograms. Bivariate methods include Lee's L and cross variogram. Multivariate methods include MULTISPATI PCA and multivariate local Geary's C recently developed by Anselin. The
skills/transcriptomics/voyager/SKILL.md
Source commit c9bd4d8eb6edc5308a8f55e6184dce9e8afadf12
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- Last checked
- Nov 10, 2026
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- Repository last updated
- Jun 20, 2026
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