GraphPCA: a fast and interpretable dimension reduction algorithm for spatial transcriptomics data

GraphPCA: a fast and interpretable dimension reduction algorithm for spatial transcriptomics data

Abstract The rapid advancement of spatial transcriptomics technologies has revolutionized our understanding of cell heterogeneity and intricate spatial structures within tissues and organs. However, the high dimensionality and noise in spatial transcriptomic data present significant challenges for d...

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Bibliographic Details
Main Authors: Jiyuan Yang, Lu Wang, Lin Liu, Xiaoqi Zheng
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Genome Biology
Subjects:
Spatial transcriptomics
Dimension reduction
PCA
Spatial domain detection
Online Access:https://doi.org/10.1186/s13059-024-03429-x
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