DEBay

DEBay deconvolutes quantitative PCR (qPCR) data from heterogeneous cell populations to estimate cell type–specific gene expression levels.

Key Features:

• Gene Expression Deconvolution: Estimates gene expression contributions from individual cell types within mixed populations without physical separation.
• Normalized Gene Expression Coefficient (NGEC): Calculates NGEC values representing relative target gene expression for each cell type, algebraically linked to normalized fold-change values from qPCR data.
• Bayesian Model Selection: Applies Bayesian methods for parameter estimation and model selection during gene expression deconvolution.
• Time-Dependent and Time-Independent Modeling: Supports analysis of both static and time-dependent gene expression profiles.

Scientific Applications:

• Cell Type–Specific Gene Expression Analysis: Enables estimation of gene expression levels in individual cell types within heterogeneous biological samples.
• Mixed Population Transcript Analysis: Supports interpretation of qPCR datasets derived from samples containing multiple cell subpopulations.
• Gene Regulation Studies: Facilitates investigation of gene expression dynamics when cell-type proportions are known but physical separation is impractical.

Methodology:

DEBay integrates qPCR fold-change data with known cell population proportions and applies Bayesian parameter estimation and model selection to compute normalized gene expression coefficients (NGEC) representing cell type–specific gene expression.