Advanced Omics Data Analysis and Visualization (Aodav). Highly adaptable to Seurat objects for single-cell RNA-seq data.
pcaGenes
: find top gene list associted most with the first three dimensions using PCA analysis.
pwDEG
: thoroughly find differentially expressed genes (DEGs) for any pairs of cell clusters.
conservedMarkers
: find conserved marker genes for each cluster in two conditions.
markerSelect
: select representative genes according to differential expression in each cluster, usefull for downstream visualization.
DEGsEnrich
: perfrom GO enrichment analysis for each cluster specifically expressed genes by batching enrichR.
viewGO
: visualize GO enrichment results by UP, DOWN and Total genes for each cell cluster.
viewMergeGO
: simultaneously dispaly the GO enrichments in all cell clusters by merging top representative terms.
addROC
: calculate ROC score for each gene to estimate the capability for separating cell clusters.
Roe
: evaluate the cellular composition among samples as compared to controls by adopting Chi-square test.
cellMap
: map single cells to each cell clusters using scRNA-seq data. This function embeds 'scmap' tool and improves to enable multiple rounds of projection to increase the mapping accuracy of cells with similar experssion patterns.
geneHeatmap
: combined heatmap and clustering for customized display of gene expression dynamics through cell types, given selected gene list.
volcanoPlot
: volcano plot of differentially expressed genes between two groups of cells. It supports displaying gene symbols on the plot.
barPlot
: bar plot shows gene expression of individual cells in each cell group.
boxPlot
: box plot shows gene expression of cell groups for a gene set or individual genes.
devtools::install_github("zhupinglab/Aodav")
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