Deconvolution of Bulk Sequencing Experiments using Single Cell Data

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Documentation for package ‘bseqsc’ version 1.0

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bseqsc-package bseqsc: Deconvolution of Bulk Sequencing Experiments using Single Cell Data
bseqsc bseqsc: Deconvolution of Bulk Sequencing Experiments using Single Cell Data
bseqscColorTheme Color Theme for BSEQsc Vignettes
bseqsc_basis Building a Basis Matrix of Reference Gene Expression Profiles
bseqsc_config Setup BSeq-SC External Dependencies
bseqsc_csdiff Testing for Cell Type-Specific Gene Expression Differences
bseqsc_proportions Estimating Cell Type Proportions From Single Cell Data
cpm_cell_type Scale Single Cell Data According to Average Cell Type Profiles
fitEdgeR Fitting EdgeR Model
getMITRIB MITRIB Lists known ribosomal or mitochondrial genes.
MITRIB Ribosomal and Mitochondrial Genes
PancreasIslet Reference Basis Matrix of Pancreatic Islet Cell Types
pancreasMarkers Marker Genes for Pancreas Islet Cells
plotBasis Generates Heatmap of Basis Matrix
plotCellTotals Plots Total Count Per Cell Type
plotEffectSize Plotting Cell Type-Specific Expression Effect Size
pvalueScatter P-Value Scatter Plot
rscData Generates Random Single Cell Data