# 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 1.20.0

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

## Help Pages

batch_correction | batch_correction
DeMixT | Deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms
DeMixT_DE | Estimates the proportions of mixed samples for each mixing component
DeMixT_GS | Estimates the proportions of mixed samples for each mixing component using profile likelihood gene selection
DeMixT_preprocessing | DeMixT_preprocessing
DeMixT_S2 | Deconvolves expressions of each individual sample for unknown component
detect_suspicious_sample_by_hierarchical_clustering_2comp | detect_suspicious_sample_by_hierarchical_clustering_2comp
Optimum_KernelC | Kernel function for optimizing parameters and hidden variables in DeMixT
plot_dim | detect_suspicious_sample_by_hierarchical_clustering_2comp
plot_sd | detect_suspicious_sample_by_hierarchical_clustering_2comp
scale_normalization_75th_percentile | scale_normalization_75th_percentile
simulate_2comp | Function to simulate two-component test data
simulate_3comp | Function to simulate three-component mixed cell line test data
subset_sd | subset_sd
subset_sd_gene_remaining | subset_sd_gene_remaining
test.data.2comp | Simulated two-component test data
test.data.3comp | Simulated three-component mixed cell line test data