binarizeExp | binarize the expression value using the distribution |
classifyCell.by.model | classify cells using pre-trained model |
classifyCell.by.sigGene | classify cells using signature genes |
classify.outlier | outlier detection using extremevalues |
comb.pvalue | combine p values |
expressedFraction | For each gene, calculate the frequency of cells in each... |
expressedFraction.HiExpressorMean | For each gene, calculate the average expression of the... |
fftRtsne | Wraper for running FIt-SNE. Code from KlugerLab... |
findDEGenesByAOV | differential expression analysis |
findKneePoint | Find the knee point of the scree plot |
getAUC | calculate the AUC of one gene, using it as a classifier. code... |
integrate.by.avg | integrate dataset by calculating the average expression and... |
mcrf | Wraper for running random forest classifier (multiple core... |
plotPairsCor | plot genes expression in pairs of clusters to examine the... |
plotSigGene | plot signature genes |
rank.de.gene | get gene ranking table from obj |
reexports | Objects exported from other packages |
run.DE.matrix | run DE given an expression matrix |
run.KNN | Wraper for running random forest classifier |
run.limma.matrix | run limma, given an expression matrix |
run.RF | Wraper for running random forest classifier |
run.SC3 | Wraper for running SC3 |
run.SVM | Wraper for running svm |
run.tSNE | Wraper for running Rtsne |
sce.Pollen | Single cell RNA-Seq data extracted from a publication by... |
ssc.clust | Perform clustering using reduced data |
ssc.clusterMarkerGene | identify marker genes of each cluster |
ssc.clustSubsamplingClassification | Clustering with subsampling and classification |
ssc.DEGene.limma | identify differential genes of each cluster (comparing the... |
ssc.reduceDim | Reduce dimension by various methods |
ssc.run | Wrapper for running all the pipeline |
ssc.variableGene | Identify variable genes |
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