accuracy_plot: Plot and compare the robustness of different clusters...
In PatZeis/AssessMe: A cluster assessment tool for preprocessing and clustering optimization
accuracy_plot R Documentation
Plot and compare the robustness of different clusters partitions
Description
This function plots the accuracy of re-classifications of the different cluster partitions tested based on enriched genes, unique enriched genes, outlier genes, feature genes as well as if assessed shared enriched but differentially expressed genes.
Usage
accuracy_plot(accuracy_list)
Arguments
accuracy_list
list of accuracy computations/n-fold cross validations for e.g. different cluster partitions.
Examples
accuracy_plot(accuracy_list)
PatZeis/AssessMe documentation built on Nov. 19, 2022, 6:03 a.m.
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| accuracy_plot | R Documentation |
Plot and compare the robustness of different clusters partitions
Description
This function plots the accuracy of re-classifications of the different cluster partitions tested based on enriched genes, unique enriched genes, outlier genes, feature genes as well as if assessed shared enriched but differentially expressed genes.
Usage
accuracy_plot(accuracy_list)
Arguments
accuracy_list |
list of accuracy computations/n-fold cross validations for e.g. different cluster partitions. |
Examples
accuracy_plot(accuracy_list)
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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