# Cell type-specific deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms

## Documentation for package ‘DeMixT’ version 1.2.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

DeMixT | Deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms
DeMixT_GS | Estimates the proportions of mixed samples for each mixing component using profile likelihood gene selection
DeMixT_S1 | Estimates the proportions of mixed samples for each mixing component
DeMixT_S2 | Deconvolves expressions of each individual sample for unknown component
Optimum_KernelC | Kernel function for optimizing parameters and hidden variables in DeMixT
simulate_2comp | Function to simulate two-component test data
simulate_3comp | Function to simulate three-component mixed cell line test data
test.data.2comp | Simulated two-component test data
test.data.3comp | Simulated three-component mixed cell line test data