GEDIT

GEDIT performs deconvolution of bulk gene expression data to quantify stromal and hematopoietic cell type composition in heterogeneous human and mouse tissue samples.

Key Features:

• Versatility Across Platforms: Compatible with both microarray and RNA-seq datasets for cell type estimation.
• Comprehensive Tissue Type Coverage: Predicts both stromal and hematopoietic cell types in human and mouse samples.
• Robust Performance Evaluation: Performance has been evaluated using simulated and experimental data across varied conditions.
• Extensive Reference Database: Includes reference matrices compiled from eight distinct sources covering a broad spectrum of stromal and hematopoietic cell types in humans and mice.
• Customizable Reference Matrices: Accepts user-provided custom reference matrices to estimate additional cell types or subtypes.

Scientific Applications:

• Cell Type Quantification: Quantifying cell type composition in clinical and laboratory heterogeneous tissue samples.
• Gene Expression Analysis and Disease Modeling: Deconvoluting bulk gene expression to support interpretation in disease modeling and mechanistic studies.
• Personalized Medicine and Biomarker Discovery: Enabling cell-type-resolved interpretation of biomarkers for personalized medicine applications.

Methodology:

Performs computational deconvolution of bulk gene expression data (microarray and RNA-seq) using reference matrices assembled from eight distinct sources and validated on simulated and experimental datasets.