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STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e1084"><mml:mi>k</mml:mi></mml:math>-sums clustering
Research article (Computers in Biology and Medicine, 2023) · cited 34× · AI/ML
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Summary
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering is a scholarly article<sup id="cite-A2" class="cite-ref" title="STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and [1].
Key Facts
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and [2].
References
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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). STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e1084"><mml:mi>k</mml:mi></mml:math>-sums clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/stgnnks-identifying-cell-types-in-spatial-transcriptomics-data-based-on-graph-neural-network-denoising-auto-encoder-and-
MLA“STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e1084"><mml:mi>k</mml:mi></mml:math>-sums clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stgnnks-identifying-cell-types-in-spatial-transcriptomics-data-based-on-graph-neural-network-denoising-auto-encoder-and-.
BibTeX@misc{4ortxyz_stgnnks-identifying-cell-types-in-spatial-transcriptomics-data-based-on-graph-neural-network-denoising-auto-encoder-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e1084"><mml:mi>k</mml:mi></mml:math>-sums clustering}}, year = {2026}, url = {https://4ort.xyz/entity/stgnnks-identifying-cell-types-in-spatial-transcriptomics-data-based-on-graph-neural-network-denoising-auto-encoder-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e1084"><mml:mi>k</mml:mi></mml:math>-sums clustering — https://4ort.xyz/entity/stgnnks-identifying-cell-types-in-spatial-transcriptomics-data-based-on-graph-neural-network-denoising-auto-encoder-and- (retrieved 2026-05-24)
