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Deconvolution by Convex Analysis of Mixtures

Bioconductor version: Release (3.19)

An R package for fully unsupervised deconvolution of complex tissues. It provides basic functions to perform unsupervised deconvolution on mixture expression profiles by Convex Analysis of Mixtures (CAM) and some auxiliary functions to help understand the subpopulation-specific results. It also implements functions to perform supervised deconvolution based on prior knowledge of molecular markers, S matrix or A matrix. Combining molecular markers from CAM and from prior knowledge can achieve semi-supervised deconvolution of mixtures.

Author: Lulu Chen <luluchen at>

Maintainer: Lulu Chen <luluchen at>

Citation (from within R, enter citation("debCAM")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

debCAM User Manual HTML R Script
Reference Manual PDF


biocViews CellBiology, GeneExpression, Software
Version 1.22.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-2
Depends R (>= 3.5)
Imports methods, rJava, BiocParallel, stats, Biobase, SummarizedExperiment, corpcor, geometry, NMF, nnls, DMwR2, pcaPP, apcluster, graphics
System Requirements Java (>= 1.8)
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Suggests knitr, rmarkdown, BiocStyle, testthat, GEOquery, rgl
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Follow Installation instructions to use this package in your R session.

Source Package debCAM_1.22.0.tar.gz
Windows Binary
macOS Binary (x86_64) debCAM_1.22.0.tgz
macOS Binary (arm64) debCAM_1.22.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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