#single-cell — Wednesday, May 20, 2026 (3 items)
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Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states.
(linkinghub.elsevier.com)
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Cell Systems 2026-05-20 | #transcriptomics #single-cell #machine learning #representation learning #disease classification | |
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TarDis: Achieving robust and structured disentanglement of multiple covariates.
(linkinghub.elsevier.com)
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Cell Systems 2026-05-20 | #single-cell #deep learning #integration #batch correction #disentanglement | |
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Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change.
(linkinghub.elsevier.com)
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Cell Systems 2026-05-20 | #modeling #imaging #transcriptomics #single-cell #emt |