distribution_plot: Visualization of G0-like distribution in mean scores
In tinglab/redPATH: Reconstructing the pseudo development time of cell lineages in single cell RNA-Seq data and applications in cancer.
Description
Usage
Arguments
Examples
Description
Provides boxplot for visualizing the cell cluster distribution across different cell cycle stages mean scores
Usage
1
distribution_plot(mean_scores, kmean_result)
Arguments
mean_scores
The mean score results returned from the reCAT software, "get_score"
kmean_result
The classification of kmeans clustering result.
Examples
1
2
3
4
cycle_mean_scores <- get_score(t(test_exp))$mean_score
kmean_classification <- kmeans_clustering(cycle_mean_scores)
require(scater)
distribution_plot(cycle_mean_scores, kmean_classification)
tinglab/redPATH documentation built on May 31, 2019, 10:37 a.m.
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Description Usage Arguments Examples
Description
Provides boxplot for visualizing the cell cluster distribution across different cell cycle stages mean scores
Usage
1 | distribution_plot(mean_scores, kmean_result)
|
Arguments
mean_scores |
The mean score results returned from the reCAT software, "get_score" |
kmean_result |
The classification of kmeans clustering result. |
Examples
1 2 3 4 | cycle_mean_scores <- get_score(t(test_exp))$mean_score
kmean_classification <- kmeans_clustering(cycle_mean_scores)
require(scater)
distribution_plot(cycle_mean_scores, kmean_classification)
|
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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