debCAM
The "debCAM" R package introduces an unsupervised deconvolution method for dissecting complex tissues into molecularly distinctive subtypes based on bulk expression profiles. This software can autonomously identify tissue or cell-specific markers, ascertain the number of constituent subtypes, compute subtype proportions in individual samples, and estimate tissue or cell-specific expression profiles. Demonstrations on various data types, including gene expression, methylation, proteomics, and imaging, showcase the biomedical utility of debCAM. The tool enables a more comprehensive and unbiased characterization of tissue remodeling, especially when complemented with enhanced data preprocessing and prior knowledge incorporation.
Topic
Proteomics;Gene expression;Sequence analysis;Epigenetics;Imaging
Detail
Operation: Deisotoping;Expression analysis
Software interface: Library
Language: R
License: GNU General Public License, version 2
Cost: Free
Version name: 1.20.0
Credit: The National Institutes of Health, the Department of Defence.
Input: -
Output: -
Contact: Lulu Chen luluchen@vt.edu
Collection: -
Maturity: Stable
Publications
- debCAM: a bioconductor R package for fully unsupervised deconvolution of complex tissues.
- Chen L, et al. debCAM: a bioconductor R package for fully unsupervised deconvolution of complex tissues. debCAM: a bioconductor R package for fully unsupervised deconvolution of complex tissues. 2020; 36:3927-3929. doi: 10.1093/bioinformatics/btaa205
- https://doi.org/10.1093/BIOINFORMATICS/BTAA205
- PMID: 32219387
- PMC: PMC7320609
Download and documentation
Source: http://bioconductor.org/src/contrib/debCAM_1.20.0.tar.gz
Documentation: http://bioconductor.org/manuals/debCAM/man/debCAM.pdf
Home page: http://bioconductor.org/packages/debCAM
Links: http://bioconductor.org/vignettes/debCAM/inst/doc/debcam.html
Links: http://bioconductor.org/vignettes/debCAM/inst/doc/debcam.R
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