SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data

Abstract Spatial barcoding-based transcriptomic (ST) data require deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method to deconvolve ST data using reference single-cell RNA sequencing (scRNA-seq) data. SDePER tackles platform e...

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Bibliographic Details

Published in:	Genome Biology
Main Authors:	Yunqing Liu, Ningshan Li, Ji Qi, Gang Xu, Jiayi Zhao, Nating Wang, Xiayuan Huang, Wenhao Jiang, Huanhuan Wei, Aurélien Justet, Taylor S. Adams, Robert Homer, Amei Amei, Ivan O. Rosas, Naftali Kaminski, Zuoheng Wang, Xiting Yan
Format:	Article
Language:	English
Published:	BMC 2024-10-01
Online Access:	https://doi.org/10.1186/s13059-024-03416-2