SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning

SpaDecon is a semi-supervised learning-based method for cell-type deconvolution of spatially resolved transcriptomics (SRT) data that is also computationally fast and memory efficient for large-scale SRT studies.

Bibliographic Details
Main Authors: Kyle Coleman, Jian Hu, Amelia Schroeder, Edward B. Lee, Mingyao Li
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-04761-x