| immunedeconv-package | Collection of immune cell deconvolution methods. | 
| .get_all_children | Recursive helper function for get_all_children. | 
| annotate_cell_type | Annotate unified cell_type names | 
| available_datasets | Available methods and datasets. | 
| cell_type_map | Table mapping the cell types from methods/datasets to a single, controlled vocabulary. | 
| cell_type_mapping | Functions for mapping cell types between deconvolution methods and datasets. | 
| cell_type_tree | Available cell types in the controlled vocabulary organized as a lineage tree. | 
| check_cancer_types | process batch table and check cancer types. | 
| dataset_racle | Example RNA-seq dataset from the EPIC publication. | 
| deconvolute | Perform an immune cell deconvolution on a dataset. | 
| deconvolute_cibersort | Deconvolute using CIBERSORT or CIBERSORT abs. | 
| deconvolute_epic | Deconvolute using EPIC | 
| deconvolute_mcp_counter | Deconvolute using MCP-counter | 
| deconvolute_quantiseq | Deconvolute using quanTIseq | 
| deconvolute_quantiseq.default | Use quanTIseq to deconvolute a gene expression matrix. | 
| deconvolute_timer | Deconvolute using TIMER | 
| deconvolute_xcell | Deconvolute using xCell | 
| deconvolution_methods | List of supported immune deconvolution methods | 
| eset_to_matrix | Convert a 'Biobase::ExpressionSet' to a gene-expression matrix. | 
| find_children | Recursive helper function for map_cell_types. | 
| GetFractions.Abbas | Constrained regression method implemented in Abbas et al., 2009 | 
| get_all_children | Get all children of a certain cell type. | 
| immunedeconv | Collection of immune cell deconvolution methods. | 
| make_bulk_eset | Make a random expression set from a single-cell dataset | 
| make_random_bulk | Make a random bulk sample from a single-cell dataset | 
| map_cell_types | Use a tree-hierarchy to map cell types among different methods. | 
| map_result_to_celltypes | Map a result table as generated by 'deconvolute' to a user-defined list of cell types. | 
| quantiseq_helper | Helper functions for quanTIseq | 
| scale_to_million | Scale sample to TPM | 
| set_cibersort_binary | Set Path to CIBERSORT R script ('CIBERSORT.R') | 
| set_cibersort_mat | Set Path to CIBERSORT matrix file ('LM22.txt') | 
| single_cell_simulation | Functions for generating simulated bulk samples from a single cell dataset. | 
| summarise_children | sum up the fraction of all child nodes to a single value. Take into account which cell types are optional. | 
| timer | Source code for the TIMER deconvolution method. | 
| timer_available_cancers | TIMER signatures are cancer specific. This is the list of available cancer types. | 
| xCell.data | Data object from xCell. |