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Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics

Research article (Genome Research, 2023) · cited 32× · AI/ML
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Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics

Summary

Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics is a scholarly article[1].

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  • Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics's instance of is recorded as scholarly article[2].

Related Entities

Xuegong Zhang

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics. Retrieved May 24, 2026, from https://4ort.xyz/entity/latent-feature-extraction-with-a-prior-based-self-attention-framework-for-spatial-transcriptomics
MLA “Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/latent-feature-extraction-with-a-prior-based-self-attention-framework-for-spatial-transcriptomics.
BibTeX @misc{4ortxyz_latent-feature-extraction-with-a-prior-based-self-attention-framework-for-spatial-transcriptomics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics}}, year = {2026}, url = {https://4ort.xyz/entity/latent-feature-extraction-with-a-prior-based-self-attention-framework-for-spatial-transcriptomics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics — https://4ort.xyz/entity/latent-feature-extraction-with-a-prior-based-self-attention-framework-for-spatial-transcriptomics (retrieved 2026-05-24)

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