Man pages for amsszlh/scMC
Integrating and comparing multiple single cell genomic datasets
| buildBipartiteGraph | build Bipartite Graph |
| calAv | compute the projected data |
| computeProportion | Stacked bar plot showing the proportion of cells across... |
| extract_max | extract the max value of the y axis |
| ggPalette | Generate ggplot2 colors |
| identifyClusters | Identify cell clusters |
| identifyClusters_internal | identify cell clusters of a single Seurat object |
| identifyConfidentCells | identify confident cells in each cell cluster |
| identifyIntegrationFeatures | Identify integration features |
| identifyMarkers | Identify marker genes associated with cell clusters |
| identifyNeighbors | identify shared nearest neighbors |
| integrateData | Infer a shared embedding of cells across all datasets after... |
| learnTechnicalVariation | Learn technical variation between any two datasets |
| modify_vlnplot | modified vlnplot |
| RunscMC | Seurat wrapper for scMC |
| scMC_theme_opts | ggplot theme in scMC |
| scPalette | Generate colors from a customed color palette |
| StackedVlnPlot | Stacked Violin plot |
