Man pages for Close-your-eyes/scexpr
Lots of helpers and wrappers to analyze scRNAseq data sets

cds_dimred_to_seuratCopy dimension reductions from a cell data set (cds) object...
cds_trajectory_to_seuratCopy a trajectory from a cell data set (cds) object to...
cluster_correlationFind groups (clusters) of cells (single cell transcriptomes)...
clustering_volcanosTitle
coalesce_joinCoalescing join function which will update NA values in the...
col_palColor palettes
composition_barplotPlot composition of one category by another
convert_gene_identifierTitle
feature_correlationGet features whose expression is correlated or...
feature_plotPlot features of single cell transcriptomes on a dimension...
feature_plot_statTitle
fgsea_on_msigdbrTitle
freq_pie_chartTitle
heatmap_pseudobulkTitle
hla_df_from_xmlPrepare a data frame from a xml file containing hla allele...
hla_typingAlign reads from (sc)RNAseq to known HLA reference alleles,...
hs_mm_ortholog_tableCreate an table of ortholog genes between human and mouse
prep_SOPrepare a somewhat standardized Seurat Object for further...
qc_diagnosticRun a bunch of default quality checks on scRNAseq data from...
qc_params_meta_colsTitle
qc_plotQuickly plot common qc metrics
reads_from_bamGet reads from a bam file
reverse_lognormTitle
row_scaleTitle
scale_min_maxTitle
shiny_uisTitle
split_matSplit matrices just like splitting a data frame.
volcano_plotMake a volcano plot comparing the gene expression of selected...
Close-your-eyes/scexpr documentation built on April 21, 2023, 10:27 a.m.