debCAM-package {debCAM} | R Documentation

## debCAM: A package for fully unsupervised deconvolution of complex tissues.

### Description

The core function in this package is `CAM` which achieves fully unsupervised deconvolution on mixture expression profiles. Each step in `CAM` can also be performed separately by `CAMPrep`, `CAMMGCluster` and `CAMASest` in a more flexible workflow. `MGstatistic` can help extract a complete marker list from CAM results. `MDL` can help decide the underlying subpopulation number. With other functions, e.g. `AfromMarkers` and `MGstatistic`, this package can also perform supervised deconvolution based on prior knowledge of molecular markers, subpopulation-specific expression matrix (S) or proportion matrix (A). Semi-supervised deconvolution can be achieved by combining molecular markers from CAM and from prior knowledge to analyze mixture expressions.

### References

Wang, N., Hoffman, E. P., Chen, L., Chen, L., Zhang, Z., Liu, C., … Wang, Y. (2016). Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues. Scientific Reports, 6, 18909. http://doi.org/10.1038/srep18909

[Package debCAM version 1.6.0 Index]