nmf_plot: Summary plot for NMF result
In naikai/sake: Single-cell RNA-Seq Analysis and Klustering Evaluation
nmf_plot R Documentation
Summary plot for NMF result
Description
X = W x H
W is the feature matrix, H is the sample matrix
After NMF run, use this function to select import features and assign groups for the two matrix
Usage
nmf_plot(res, type = "consensus", subsetRow = TRUE, save.image = F,
hclustfun = "average", silorder = F, add_original_name = T)
Arguments
res
NMF run results
mode
What kind of plot? (result, feature, consensus)
Examples
nmf_plot(nmf_res)
naikai/sake documentation built on Feb. 15, 2023, 11 p.m.
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| nmf_plot | R Documentation |
Summary plot for NMF result
Description
X = W x H W is the feature matrix, H is the sample matrix After NMF run, use this function to select import features and assign groups for the two matrix
Usage
nmf_plot(res, type = "consensus", subsetRow = TRUE, save.image = F, hclustfun = "average", silorder = F, add_original_name = T)
Arguments
res |
NMF run results |
mode |
What kind of plot? (result, feature, consensus) |
Examples
nmf_plot(nmf_res)
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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