CalcSNN: SNN Graph Construction. Adapted from Seurat.
In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets
CalcSNN R Documentation
SNN Graph Construction. Adapted from Seurat.
Description
SNN Graph Construction. Adapted from Seurat.
Usage
CalcSNN(data.use, k = 10, k.scale = 10, prune.SNN = 1/15)
Arguments
data.use
Features x samples matrix to use to build the SNN
k
Defines k for the k-nearest neighbor algorithm
k.scale
Granularity option for k.param
prune.SNN
Sets the cutoff for acceptable Jaccard distances when
computing the neighborhood overlap for the SNN construction.
Value
Returns similarity matrix in sparse matrix format
yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.
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| CalcSNN | R Documentation |
SNN Graph Construction. Adapted from Seurat.
Description
SNN Graph Construction. Adapted from Seurat.
Usage
CalcSNN(data.use, k = 10, k.scale = 10, prune.SNN = 1/15)
Arguments
data.use |
Features x samples matrix to use to build the SNN |
k |
Defines k for the k-nearest neighbor algorithm |
k.scale |
Granularity option for k.param |
prune.SNN |
Sets the cutoff for acceptable Jaccard distances when computing the neighborhood overlap for the SNN construction. |
Value
Returns similarity matrix in sparse matrix format
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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