DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

Research article (PLoS Computational Biology, 2022) · cited 111× · AI/ML
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DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

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DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics. Retrieved May 24, 2026, from https://4ort.xyz/entity/delta-2-0-a-deep-learning-pipeline-for-quantifying-single-cell-spatial-and-temporal-dynamics
MLA “DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/delta-2-0-a-deep-learning-pipeline-for-quantifying-single-cell-spatial-and-temporal-dynamics.
BibTeX @misc{4ortxyz_delta-2-0-a-deep-learning-pipeline-for-quantifying-single-cell-spatial-and-temporal-dynamics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics}}, year = {2026}, url = {https://4ort.xyz/entity/delta-2-0-a-deep-learning-pipeline-for-quantifying-single-cell-spatial-and-temporal-dynamics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics — https://4ort.xyz/entity/delta-2-0-a-deep-learning-pipeline-for-quantifying-single-cell-spatial-and-temporal-dynamics (retrieved 2026-05-24)

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