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Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network
Research article (Frontiers in Genetics, 2023) · cited 13× · AI/ML
Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network
Summary
Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network is a scholarly article[1].
Key Facts
Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/deciphering-tissue-heterogeneity-from-spatially-resolved-transcriptomics-by-the-autoencoder-assisted-graph-convolutional
MLA“Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deciphering-tissue-heterogeneity-from-spatially-resolved-transcriptomics-by-the-autoencoder-assisted-graph-convolutional.
BibTeX@misc{4ortxyz_deciphering-tissue-heterogeneity-from-spatially-resolved-transcriptomics-by-the-autoencoder-assisted-graph-convolutional_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/deciphering-tissue-heterogeneity-from-spatially-resolved-transcriptomics-by-the-autoencoder-assisted-graph-convolutional}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network — https://4ort.xyz/entity/deciphering-tissue-heterogeneity-from-spatially-resolved-transcriptomics-by-the-autoencoder-assisted-graph-convolutional (retrieved 2026-05-24)
