Description Usage Arguments Value References Examples
View source: R/Plot_DiffusionMap.R
This function visualizes the diffusion map in 2D or 3D plots
1 2 3 4 5 6 7 8 9 10 11 |
Integration.l |
Typically, it is the output from |
dim |
A numeric vector. Diffusin components order in the plot axes. And the sign of evrey entry indicates the direction of component. Default is c(1, 2, 3) |
color_by |
Indicating the variable used for coloring. |
TIPs |
Specifying which trajectory paths should be shown on the
diffusion maps. Only available in 2D plot and when
|
phi |
The angles defining the viewing direction. |
theta |
The angles defining the viewing direction. |
bty |
The type of the box, the default |
... |
Additional arguments passed to the 3D plotting methods |
PDF |
A logical. Output figure via pdf file or not, default is FALSE |
A pdf file contains the generated figure or a ggplot object
Teschendorff AE, Tariq Enver. Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome. Nature communications 8 (2017): 15599. doi: 10.1038/ncomms15599.
Teschendorff, Andrew E., Peter Sollich, and Reimer Kuehn. Signalling entropy: A novel network-theoretical framework for systems analysis and interpretation of functional omic data. Methods 67.3 (2014): 282-293. doi: 10.1016/j.ymeth.2014.03.013.
1 2 3 4 5 6 7 8 9 10 11 | ## Not run:
data(Example.m)
data(net13Jun12.m)
Integration.l <- DoIntegPPI(exp.m = Example.m[, c(1:58,61:84,86:98,100)], ppiA.m = net13Jun12.m)
data(SR.v)
Integration.l$SR <- SR.v
InferPotency.o <- InferPotency(Integration.l)
DoDM.o <- DoDiffusionMap(InferPotency.o)
Plot_DiffusionMap(DoDM.o)
## End(Not run)
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