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siVAE: interpretable deep generative models for single-cell transcriptomes

Research article (Genome biology, 2023) · cited 45× · AI/ML
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siVAE: interpretable deep generative models for single-cell transcriptomes

Summary

siVAE: interpretable deep generative models for single-cell transcriptomes is a scholarly article[1].

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  • siVAE: interpretable deep generative models for single-cell transcriptomes's instance of is recorded as scholarly article[2].

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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). siVAE: interpretable deep generative models for single-cell transcriptomes. Retrieved May 24, 2026, from https://4ort.xyz/entity/sivae-interpretable-deep-generative-models-for-single-cell-transcriptomes
MLA “siVAE: interpretable deep generative models for single-cell transcriptomes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sivae-interpretable-deep-generative-models-for-single-cell-transcriptomes.
BibTeX @misc{4ortxyz_sivae-interpretable-deep-generative-models-for-single-cell-transcriptomes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{siVAE: interpretable deep generative models for single-cell transcriptomes}}, year = {2026}, url = {https://4ort.xyz/entity/sivae-interpretable-deep-generative-models-for-single-cell-transcriptomes}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): siVAE: interpretable deep generative models for single-cell transcriptomes — https://4ort.xyz/entity/sivae-interpretable-deep-generative-models-for-single-cell-transcriptomes (retrieved 2026-05-24)

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