DEBay: Deconvolution of Ensemble through Bayes-approach
DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in the sample.
The user manual of DEBay: https://sourceforge.net/projects/debay/files/UserManual.pdf
Sample data: https://sourceforge.net/projects/debay/files/Test_data/
Citation Information: Vimalathithan Devaraj, Biplab Bose. DEBay: A computational tool for deconvolution of quantitative PCR data for estimation of cell type-specific gene expression in a mixed population. Heliyon, 2020, 6(7), e04489. https://doi.org/10.1016/j.heliyon.2020.e04489
Features
- Deconvolutes cell-type-specific gene expression from quantitative PCR data
- Deconvolutes both time-dependent and -independent gene expression data
- Uses the Bayesian method of parameter estimation
- Gives the statistics of the estimated parameters
Project Samples
