Function reference • quantiseqr

All functions
`DClsei()`	Solve Least Squares with Equality and Inequality Constraints (LSEI) problem
`DCrr()`	Perform robust regression
`check_signature()`	Check the signature matrix
`dataset_racle`	An exemplary dataset with samples from four patients with metastatic melanoma
`eset_to_matrix()`	Convert a `Biobase::ExpressionSet` to a gene-expression matrix.
`extract_ti_from_se()`	Extract tumor immune quantifications
`fixMixture()`	Format the mixture matrix before deconvolution
`get_densities()`	Scale deconvoluted cell fractions to cell densities
`makeQN()`	Perform quantile normalization of expression data
`mapGenes()`	Rename gene symbols before deconvolution
`quanTIseq()`	Run quanTIseq deconvolution
`quantiplot()`	Plot the information on the tumor immune contexture
`quantiseq_helper`	Helper functions for quanTIseq
`quantiseqr-pkg`	quantiseqr package
`run_quantiseq()`	Run the quanTIseq algorithm
`se_to_matrix()`	SummarizedExperiment to matrix
`ti_quant_sim1700mixtures`	quanTIseq output for the simulation data of 1700 mixtures for RNA-seq data

Reference