GetKnnDe: Get the KNN density estimaion
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
Usage
Arguments
Value
Examples
Description
Obtain a density estimation derived from the original manifold,
avoiding the lossiness of lower dimensional embeddings
Usage
1
GetKnnDe(nn.matrix)
Arguments
nn.matrix
A list of 2, where the first is a matrix of nn indices,
and the second is a matrix of nn distances
Value
a vector where each element is the KNN-DE for that given cell,
ordered by row number, in the original input matrix of cells x features
Examples
1
2
ex.knn <- Fnn(wand.combined, input.markers, k = 30)
GetKnnDe(ex.knn)
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description Usage Arguments Value Examples
Description
Obtain a density estimation derived from the original manifold, avoiding the lossiness of lower dimensional embeddings
Usage
1 | GetKnnDe(nn.matrix)
|
Arguments
nn.matrix |
A list of 2, where the first is a matrix of nn indices, and the second is a matrix of nn distances |
Value
a vector where each element is the KNN-DE for that given cell, ordered by row number, in the original input matrix of cells x features
Examples
1 2 | ex.knn <- Fnn(wand.combined, input.markers, k = 30)
GetKnnDe(ex.knn)
|
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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