wand.scone: Wanderlust scone output
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
The scone output for the Wanderlust dataset
Usage
1
Format
A tibble of 1000 cells by 34 features. These features include
the KNN comparisons, KNN density estimation, and differential abundance.
Note that this tibble gets concatenated with the original tibble, as well
as two t-SNE dimensions in the post.processing() command of the pipeline.
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description
The scone output for the Wanderlust dataset
Usage
1 |
Format
A tibble of 1000 cells by 34 features. These features include the KNN comparisons, KNN density estimation, and differential abundance. Note that this tibble gets concatenated with the original tibble, as well as two t-SNE dimensions in the post.processing() command of the pipeline.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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