Description Usage Arguments Value
View source: R/getOptimalFeatureSet.R
Determine the optimal feature set using Density Index (DI)
1 2 3 4 5 6 7 8 | getOptimalFeatureSet(
filt.data,
ordered.genes,
elbow.pt = 25,
k = 10,
num.pcs = 20,
error = 0
)
|
filt.data |
log-transformed filtered gene-expression matrix |
ordered.genes |
genes ordered after stepwise regression |
elbow.pt |
Elbow point to start determining optimal feature set |
k |
number of nearest neighbours for CI computation |
num.pcs |
number of principal components to represent sc data. Default is 20. |
error |
Acceptable error margin for kNN computation. Default is 0, but is set to 1 for large datasets. |
optimal set of feature genes
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