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Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model
Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model
Summary
Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model is a scholarly article[1].
Key Facts
Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model's instance of is recorded as scholarly article[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). Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model. Retrieved May 24, 2026, from https://4ort.xyz/entity/cell-type-identification-in-spatial-transcriptomics-data-can-be-improved-by-leveraging-cell-type-informative-paired-tiss
MLA“Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cell-type-identification-in-spatial-transcriptomics-data-can-be-improved-by-leveraging-cell-type-informative-paired-tiss.
BibTeX@misc{4ortxyz_cell-type-identification-in-spatial-transcriptomics-data-can-be-improved-by-leveraging-cell-type-informative-paired-tiss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model}}, year = {2026}, url = {https://4ort.xyz/entity/cell-type-identification-in-spatial-transcriptomics-data-can-be-improved-by-leveraging-cell-type-informative-paired-tiss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model — https://4ort.xyz/entity/cell-type-identification-in-spatial-transcriptomics-data-can-be-improved-by-leveraging-cell-type-informative-paired-tiss (retrieved 2026-05-24)
