appendCeldaList | Append two celdaList objects |
availableModels | available models |
bestLogLikelihood | Get the log-likelihood |
celda | Celda models |
celda_C | Cell clustering with Celda |
celda_CG | Cell and feature clustering with Celda |
celdaCGGridSearchRes | celdaCGGridSearchRes |
celdaCGMod | celdaCGmod |
celdaCGSim | celdaCGSim |
celdaClusters | Get or set the cell cluster labels from a celda... |
celdaCMod | celdaCMod |
celdaCSim | celdaCSim |
celda_G | Feature clustering with Celda |
celdaGMod | celdaGMod |
celdaGridSearch | Run Celda in parallel with multiple parameters |
celdaGSim | celdaGSim |
celdaHeatmap | Plot celda Heatmap |
celdaModel | Get celda model from a celda SingleCellExperiment object |
celdaModules | Get or set the feature module labels from a celda... |
celdaPerplexity | Get perplexity for every model in a celdaList |
celdaPerplexity-celdaList-method | Get perplexity for every model in a celdaList |
celdaProbabilityMap | Probability map for a celda model |
celdatosce | Convert old celda model object to 'SCE' object |
celdaTsne | t-Distributed Stochastic Neighbor Embedding (t-SNE) dimension... |
celdaUmap | Uniform Manifold Approximation and Projection (UMAP)... |
clusterProbability | Get the conditional probabilities of cell in subpopulations... |
compareCountMatrix | Check count matrix consistency |
contaminationSim | contaminationSim |
countChecksum | Get the MD5 hash of the count matrix from the celdaList |
countChecksum-celdaList-method | Get the MD5 hash of the count matrix from the celdaList |
decontX | Contamination estimation with decontX |
decontXcounts | Get or set decontaminated counts matrix |
differentialExpression | Differential expression for cell subpopulations using MAST |
distinctColors | Create a color palette |
eigenMatMultInt | Fast matrix multiplication for double x int |
factorizeMatrix | Generate factorized matrices showing each feature's influence... |
fastNormProp | Fast normalization for numeric matrix |
fastNormPropLog | Fast normalization for numeric matrix |
fastNormPropSqrt | Fast normalization for numeric matrix |
featureModuleLookup | Obtain the gene module of a gene of interest |
featureModuleTable | Output a feature module table |
findMarkersTree | Generate marker decision tree from single-cell clustering... |
geneSetEnrich | Gene set enrichment |
getDecisions | Gets cluster estimates using rules generated by... |
logLikelihood | Calculate the Log-likelihood of a celda model |
logLikelihoodHistory | Get log-likelihood history |
matrixNames | Get feature, cell and sample names from a celdaModel |
moduleHeatmap | Heatmap for featureModules |
nonzero | get row and column indices of none zero elements in the... |
normalizeCounts | Normalization of count data |
params | Get parameter values provided for celdaModel creation |
perplexity | Calculate the perplexity of a celda model |
plotCeldaViolin | Feature Expression Violin Plot |
plotDecontXContamination | Plots contamination on UMAP coordinates |
plotDecontXMarkerExpression | Plots expression of marker genes before and after... |
plotDecontXMarkerPercentage | Plots percentage of cells cell types expressing markers |
plotDimReduceCluster | Plotting the cell labels on a dimension reduction plot |
plotDimReduceFeature | Plotting feature expression on a dimension reduction plot |
plotDimReduceGrid | Mapping the dimension reduction plot |
plotDimReduceModule | Plotting Celda module probability on a dimension reduction... |
plotGridSearchPerplexity | Visualize perplexity of a list of celda models |
plotGridSearchPerplexityDiff | Visualize perplexity differences of a list of celda models |
plotHeatmap | Plots heatmap based on Celda model |
plotMarkerDendro | Plots dendrogram of _findMarkersTree_ output |
plotMarkerHeatmap | Generate heatmap for a marker decision tree |
recodeClusterY | Recode feature module labels |
recodeClusterZ | Recode cell cluster labels |
recursiveSplitCell | Recursive cell splitting |
recursiveSplitModule | Recursive module splitting |
resamplePerplexity | Calculate and visualize perplexity of all models in a... |
resList | Get final celdaModels from a celda model 'SCE' or celdaList... |
retrieveFeatureIndex | Retrieve row index for a set of features |
runParams | Get run parameters from a celda model 'SingleCellExperiment'... |
sampleCells | sampleCells |
sampleLabel | Get or set sample labels from a celda SingleCellExperiment... |
sceCeldaC | sceCeldaC |
sceCeldaCG | sceCeldaCG |
sceCeldaCGGridSearch | sceCeldaCGGridSearch |
sceCeldaG | sceCeldaG |
selectBestModel | Select best chain within each combination of parameters |
selectFeatures | Simple feature selection by feature counts |
semiPheatmap | A function to draw clustered heatmaps. |
simulateCells | Simulate count data from the celda generative models. |
simulateContamination | Simulate contaminated count matrix |
splitModule | Split celda feature module |
subsetCeldaList | Subset celda model from SCE object returned from... |
topRank | Identify features with the highest influence on clustering. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.