mcplot {KODAMA} | R Documentation |
Evaluation of the Monte Carlo accuracy results
Description
This function can be used to plot the accuracy values obtained during KODAMA procedure.
Usage
mcplot(model)
Arguments
model |
output of KODAMA. |
Value
No return value.
Author(s)
Stefano Cacciatore
References
Abdel-Shafy EA, Kassim M, Vignol A, et al.
KODAMA enables self-guided weakly supervised learning in spatial transcriptomics.
bioRxiv 2025. doi: 10.1101/2025.05.28.656544. doi:10.1101/2025.05.28.656544
Cacciatore S, Luchinat C, Tenori L
Knowledge discovery by accuracy maximization.
Proc Natl Acad Sci U S A 2014;111(14):5117-5122. doi: 10.1073/pnas.1220873111. doi:10.1073/pnas.1220873111
Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA
KODAMA: an updated R package for knowledge discovery and data mining.
Bioinformatics 2017;33(4):621-623. doi: 10.1093/bioinformatics/btw705. doi:10.1093/bioinformatics/btw705
See Also
KODAMA.matrix
,KODAMA.visualization
Examples
data=as.matrix(iris[,-5])
kk=KODAMA.matrix(data)
mcplot(kk)