Description Usage Arguments Examples
This function maps input data and calculates associated lineages
1 2 | creole_map(data, is.scaled = FALSE, outDir, numClusters, numDims, sigma,
doplot3d = FALSE, dimD = "PCA")
|
data |
scaled data as an n x G data frame object |
is.scaled |
logical input to designate input data as scaled or not (z-transform) |
outDir |
output directory |
numClusters |
number of clusters to use for lineage calculation |
numDims |
number of dimensions to use in reducing data dimensionality |
sigma |
gaussian kernal width for diffusion calculation |
doplot3d |
logical whether to launch a window of the 3-D subspace. Defaults to FALSE |
dimD |
method of dimensionality reduction, currently PCA and Diffusion Mapping are implemented |
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.