adt_quality_control | Quality control for ADT count data |
aggregateAcrossCells | Aggregate expression across cells |
buildSnnGraph | Build a shared nearest neighbor graph |
centerSizeFactors | Center size factors |
chooseHighlyVariableGenes | Choose highly variable genes |
choosePseudoCount | Choose a suitable pseudo-count |
clusterGraph | Graph-based clustering of cells |
clusterKmeans | K-means clustering |
combineFactors | Combine multiple factors |
computeAdtQcMetrics | Quality control for ADT count data |
computeClrm1Factors | Compute size factors for ADT counts |
computeCrisprQcMetrics | Quality control for CRISPR count data |
computeRnaQcMetrics | Quality control for RNA count data |
correctMnn | Batch correction with mutual nearest neighbors |
crispr_quality_control | Quality control for CRISPR count data |
filterAdtQcMetrics | Quality control for ADT count data |
filterCrisprQcMetrics | Quality control for CRISPR count data |
filterRnaQcMetrics | Quality control for RNA count data |
fitVarianceTrend | Fit a mean-variance trend |
modelGeneVariances | Model per-gene variances in expression |
normalizeCounts | Normalize the count matrix |
rna_quality_control | Quality control for RNA count data |
runAllNeighborSteps | Run all neighbor-related steps |
runPca | Principal components analysis |
runTsne | t-stochastic neighbor embedding |
runUmap | Uniform manifold approxation and projection |
sanitizeSizeFactors | Sanitize size factors |
scaleByNeighbors | Scale and combine multiple embeddings |
scoreGeneSet | Score gene set activity for each cell |
scoreMarkers | Score marker genes |
subsampleByNeighbors | Subsample cells based on their neighbors |
suggestAdtQcThresholds | Quality control for ADT count data |
suggestCrisprQcThresholds | Quality control for CRISPR count data |
suggestRnaQcThresholds | Quality control for RNA count data |
summarizeEffects | Summarize pairwise effect sizes for each group |
tsnePerplexityToNeighbors | t-stochastic neighbor embedding |