Description Usage Arguments Value Related Functions Examples
Plots heatmap, pca, umap of the data simulated using sRACIPE
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | sracipePlotData(
.object,
plotToFile = FALSE,
nClusters = 2,
heatmapPlot = TRUE,
pcaPlot = TRUE,
umapPlot = TRUE,
networkPlot = TRUE,
clustMethod = "ward.D2",
col = col,
distType = "euclidean",
assignedClusters = NULL,
corMethod = "spearman",
...
)
## S4 method for signature 'RacipeSE'
sracipePlotData(
.object,
plotToFile = FALSE,
nClusters = 2,
heatmapPlot = TRUE,
pcaPlot = TRUE,
umapPlot = TRUE,
networkPlot = TRUE,
clustMethod = "ward.D2",
col = col,
distType = "euclidean",
assignedClusters = NULL,
corMethod = "spearman",
...
)
|
.object |
List A list returned by |
plotToFile |
(optional) logical. Default |
nClusters |
(optional) Integer. Default 2. Expected number of clusters
in the simulated data. Hierarchical clustering will be used to cluster the
data and the the models will be colored in UMAP and PCA plots according to
these clustering results. The clusters can be also supplied using
|
heatmapPlot |
(optional) logical. Default |
pcaPlot |
(optional) logical. Default |
umapPlot |
(optional) logical. Default |
networkPlot |
(optional) logical. Default |
clustMethod |
(optional) character. Default |
col |
(optional) Color palette |
distType |
(optional) Distance type. Used only if specified
explicitly. Otherwise, 1-cor is used. See |
assignedClusters |
vector integer or character. Default NULL. Cluster assignment of models. |
corMethod |
(optional) character. Default |
... |
Other arguments |
RacipeSE
object
sracipeSimulate
, sracipeKnockDown
,
sracipeOverExp
, sracipePlotData
,
1 2 3 4 5 6 7 | data("demoCircuit")
## Not run:
rSet <- sRACIPE::sracipeSimulate(circuit = demoCircuit, numModels = 20,
integrateStepSize = 0.1, simulationTime = 30)
rSet <- sracipePlotData(rSet)
## End(Not run)
|
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