Home ›
Entities
› academia
› Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
Research article (Nature Communications, 2024) · cited 21× · AI/ML
Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types
Summary
Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types is a scholarly article[1].
Key Facts
Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-supervised-learning-for-characterising-histomorphological-diversity-and-spatial-rna-expression-prediction-across-23
MLA“Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-supervised-learning-for-characterising-histomorphological-diversity-and-spatial-rna-expression-prediction-across-23.
BibTeX@misc{4ortxyz_self-supervised-learning-for-characterising-histomorphological-diversity-and-spatial-rna-expression-prediction-across-23_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types}}, year = {2026}, url = {https://4ort.xyz/entity/self-supervised-learning-for-characterising-histomorphological-diversity-and-spatial-rna-expression-prediction-across-23}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types — https://4ort.xyz/entity/self-supervised-learning-for-characterising-histomorphological-diversity-and-spatial-rna-expression-prediction-across-23 (retrieved 2026-05-24)
