bz.gmcsf.final.norm.scale: Bodenmiller-Zunder GM-CSF post-SCONE final data, that's been...
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
The post-SCONE output from a per-marker quantile normalized and z scored
treated with GM-CSF. We ran this on 10,000 cells and sub-sampled
to 1000 for this package.
Usage
1
Format
A tibble of 1000 cells by 69 features. This includes all the
original parameters, the KNN-generated comparisons, differential
abundance ("fraction.cond.2), and two t-SNE coordinates.
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description
The post-SCONE output from a per-marker quantile normalized and z scored treated with GM-CSF. We ran this on 10,000 cells and sub-sampled to 1000 for this package.
Usage
1 |
Format
A tibble of 1000 cells by 69 features. This includes all the original parameters, the KNN-generated comparisons, differential abundance ("fraction.cond.2), and two t-SNE coordinates.
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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