# 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 1.2.0

- 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_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
test.data1.comp1 | simulated two-component test data
test.data1.truth | simulated two-component test data
test.data1.y | simulated two-component test data
test.data2.comp1 | simulated three-component test data
test.data2.comp2 | simulated three-component test data
test.data2.truth | simulated three-component test data
test.data2.y | simulated three-component test data
test.data3.comp1 | three-component mixed cell line test data
test.data3.comp2 | three-component mixed cell line test data
test.data3.truth | three-component mixed cell line test data
test.data3.y | three-component mixed cell line test data