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Updated: Sep 8, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
Published on: March 12, 2021
SCADIE: simultaneous estimation of cell type proportions and cell type-specific gene expressions using SCAD-based
Daiwei Tang1, Seyoung Park2, Hongyu Zhao3
1Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven, USA.
Abstract:
A challenge in bulk gene differential expression analysis is to differentiate changes due to cell type-specific gene expression and cell type proportions. SCADIE is an iterative algorithm that simultaneously estimates cell type-specific gene expression profiles and cell type proportions, and performs cell type-specific differential expression analysis at the group level. Through its unique penalty and objective function, SCADIE more accurately identifies cell type-specific differentially expressed genes than existing methods, including those that may be missed from single cell RNA-Seq data. SCADIE has robust performance with respect to the choice of deconvolution methods and the sources and quality of input data.

