stBERT: A Pretrained Model for Spatial Domain Identification of Spatial Transcriptomics

Recent studies have shown that clustering latent variables, derived from autoencoders (AEs) through reconstruction tasks, is effective for identifying spatial domains of spatial transcriptomics (ST). Despite their utility, AEs exhibit inherent limitations due to discontinuities in latent spaces wher...

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Bibliographic Details
Main Authors: Ziheng Wang, Xinhe Li, Hiroaki Takada, Ryoichi Nagatomi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10714455/