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

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Additional Project Details

Operating Systems

Windows

Intended Audience

Education, Engineering, Science/Research

User Interface

Project is a user interface (UI) system

Programming Language

Python

Related Categories

Python Algorithms, Python Bio-Informatics Software, Python Statistics Software

Registered

2019-12-19