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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10714455/ |